diff --git "a/Query/sql/v3/grounding/inventories/m4_inventory_v3.json" "b/Query/sql/v3/grounding/inventories/m4_inventory_v3.json"
new file mode 100644--- /dev/null
+++ "b/Query/sql/v3/grounding/inventories/m4_inventory_v3.json"
@@ -0,0 +1,11567 @@
+{
+  "dataset_id": "m4",
+  "inventory_version": "subitem_workload_v3",
+  "planner_kind": "cli",
+  "line_version": "v3",
+  "planner_usage_summary": {
+    "planner_kind": "cli",
+    "model": "gpt-5.4",
+    "calls": 1,
+    "input_tokens": 26700,
+    "cached_input_tokens": 19840,
+    "output_tokens": 149,
+    "total_tokens": 26849,
+    "cost_usd": 0.0,
+    "usage_source": "ai_cli_json_usage",
+    "command": "codex exec --disable plugins --sandbox read-only --cd \"D:\\dpan\\Uni\\Project\\HKUNAISS\\SQLagent\" -m gpt-5.4 --json -",
+    "request_timeout_seconds": 420,
+    "invoke_retries": 2,
+    "by_module": {
+      "select_templates_cli": {
+        "calls": 1,
+        "input_tokens": 26700,
+        "cached_input_tokens": 19840,
+        "output_tokens": 149,
+        "total_tokens": 26849,
+        "cost_usd": 0.0
+      }
+    }
+  },
+  "role_profile_summary": {
+    "dataset_id": "m4",
+    "row_count": 2772,
+    "target_column": "charges",
+    "groupable_cols": [
+      "sex",
+      "children",
+      "smoker",
+      "region"
+    ],
+    "numeric_cols": [
+      "age",
+      "bmi",
+      "children"
+    ],
+    "low_card_cols": [
+      "sex",
+      "children",
+      "smoker",
+      "region"
+    ],
+    "high_card_cols": [
+      "age",
+      "bmi",
+      "charges"
+    ],
+    "temporal_cols": [],
+    "missing_cols": [],
+    "filterable_cols": [
+      "age",
+      "sex",
+      "bmi",
+      "children",
+      "smoker",
+      "region",
+      "charges"
+    ],
+    "condition_cols": [
+      "charges",
+      "sex",
+      "children",
+      "smoker",
+      "region"
+    ]
+  },
+  "selected_template_count": 15,
+  "selected_agent_template_count": 12,
+  "selected_deterministic_template_count": 3,
+  "problem_count": 169,
+  "agent_problem_count": 154,
+  "deterministic_problem_count": 15,
+  "coverage_policy": {
+    "agent_template_families": [
+      "subgroup_structure",
+      "conditional_dependency_structure",
+      "tail_rarity_structure"
+    ],
+    "agent_selected_template_min": 10,
+    "agent_selected_template_target": 12,
+    "agent_problem_count_per_template_min": 4,
+    "agent_problem_count_per_template_max": 12,
+    "agent_sql_variants_per_problem": "1-2",
+    "agent_dataset_subitem_min_sql": 5,
+    "deterministic_policy": "enumerate_all_applicable"
+  },
+  "selected_agent_templates": [
+    {
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "subgroup_structure",
+      "secondary_family": null,
+      "intent": "Compare mean numeric outcomes across subgroups.",
+      "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "required_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0012"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0012"
+        }
+      ],
+      "status": "ready",
+      "notes": "One of the most reusable regression-style templates among the public insurance SQL repository exemplars.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "internal_profile_stability"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_rank_order",
+        "subgroup_conditional_contrast",
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 1,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "subgroup_structure",
+      "secondary_family": "tail_rarity_structure",
+      "intent": "Compute subgroup averages only when support exceeds a configurable minimum.",
+      "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "required_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "support_guard:minimum_group_size",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0025"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0025"
+        }
+      ],
+      "status": "ready",
+      "notes": "Reclassified as analytics because the support guard is part of the query semantics rather than an external evaluation rule.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "internal_profile_stability"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_rank_order",
+        "subgroup_conditional_contrast",
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 2,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "source_workload_id": "car_evaluation_sql_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Measure how a categorical target rate changes across a pair of subgroup axes.",
+      "sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "required_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "group_col_2:groupable_distinct_from_group_col",
+        "target_col:categorical_or_binary",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql",
+        "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL",
+        "source_query_id": "c2_sql_0007"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql",
+          "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL",
+          "source_query_id": "c2_sql_0007"
+        }
+      ],
+      "status": "ready",
+      "notes": "Strong fit for classification-style single-table datasets; partial on regression tasks.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "dependency_strength_similarity",
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "within_group_proportion",
+        "ranked_signal_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift",
+        "pairwise_conditional_dependency"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 3,
+      "planned_problem_count": 9,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "source_workload_id": "insurance_sql_analysis_repo",
+      "primary_family": "subgroup_structure",
+      "secondary_family": "conditional_dependency_structure",
+      "intent": "Compare average numeric outcomes across a two-way subgroup grid.",
+      "sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "required_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "group_col_2:groupable_distinct_from_group_col",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+        "title": "Analysis_queries.sql · insurance-sql-analysis",
+        "source_query_id": "m4_sql_0046"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+          "title": "Analysis_queries.sql · insurance-sql-analysis",
+          "source_query_id": "m4_sql_0046"
+        }
+      ],
+      "status": "ready",
+      "notes": "Clean public-repo analogue of pairwise interaction reporting.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "internal_profile_stability"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_rank_order",
+        "subgroup_conditional_contrast",
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 4,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Estimate the proportion of rows meeting a low-cardinality condition within each subgroup.",
+      "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "required_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "condition_col:binary_or_low_cardinality_preferred",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0016"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0016"
+        }
+      ],
+      "status": "ready",
+      "notes": "Strong analytics template for subgroup-conditional proportions with broad portability.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "dependency_strength_similarity",
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "within_group_proportion",
+        "focused_target_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift",
+        "pairwise_conditional_dependency"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 5,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Contrast two condition counts within each subgroup as a ratio.",
+      "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "required_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "condition_col:binary_or_low_cardinality_preferred",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0026"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0026"
+        }
+      ],
+      "status": "ready",
+      "notes": "Captures a common dashboard KPI style rather than a benchmark-only artifact.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "contrastive_conditional_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 6,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "source_workload_id": "clickhouse_aggregate_docs",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "tail_rarity_structure",
+      "intent": "Report subgroup percentile points only for rows satisfying a low-cardinality condition.",
+      "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "required_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "condition_col:binary_or_low_cardinality_preferred",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf",
+        "title": "quantilesTimingIf | ClickHouse Docs",
+        "source_query_id": "ClickHouse quantilesTimingIf example"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf",
+          "title": "quantilesTimingIf | ClickHouse Docs",
+          "source_query_id": "ClickHouse quantilesTimingIf example"
+        }
+      ],
+      "status": "ready",
+      "notes": "Kept optional because it is highly valuable for observability-style tails but more dialect-sensitive than the rest of the core library.",
+      "materialization_bucket": "core",
+      "activation_tier": "optional",
+      "dialect_sensitive": true,
+      "dialect_notes": "Uses percentile syntax plus conditional aggregation/filter semantics. Keep it optional unless the downstream engine supports ordered-set percentiles and FILTER/If-style conditioning.",
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "slice_level_consistency",
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "focused_target_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift",
+        "conditional_interaction_hotspots"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 7,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "source_workload_id": "insurance_sql_analysis_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Bin a numeric feature into coarse buckets and compare average outcomes across those bins.",
+      "sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "required_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "band_col:ordered_or_numeric",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+        "title": "Analysis_queries.sql · insurance-sql-analysis",
+        "source_query_id": "m4_sql_0044"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+          "title": "Analysis_queries.sql · insurance-sql-analysis",
+          "source_query_id": "m4_sql_0044"
+        }
+      ],
+      "status": "ready",
+      "notes": "Important for numeric-heavy datasets where raw continuous features must be discretized before subgroup reasoning.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "slice_level_consistency"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "conditional_interaction_hotspots"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 8,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "source_workload_id": "clickbench_hits",
+      "primary_family": "subgroup_structure",
+      "secondary_family": "conditional_dependency_structure",
+      "intent": "Rank subgroups by support within a filtered slice.",
+      "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "required_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "predicate_col:filterable",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql",
+        "title": "clickhouse/queries.sql · ClickBench",
+        "source_query_id": "ClickBench Q13"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql",
+          "title": "clickhouse/queries.sql · ClickBench",
+          "source_query_id": "ClickBench Q13"
+        }
+      ],
+      "status": "ready",
+      "notes": "A cleaner heavy-hitter slice than the existing two-dimensional filtered count template.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "subgroup_size_stability"
+      ],
+      "allowed_variant_roles": [
+        "count_distribution",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 9,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "source_workload_id": "bigquery_approx_aggregate_docs",
+      "primary_family": "tail_rarity_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Report a percentile point such as p95 or p99 for each subgroup instead of returning the raw tail rows.",
+      "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "required_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions",
+        "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation",
+        "source_query_id": "BigQuery APPROX_QUANTILES example"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions",
+          "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation",
+          "source_query_id": "BigQuery APPROX_QUANTILES example"
+        },
+        {
+          "url": "https://trino.io/docs/current/functions/aggregate.html",
+          "title": "Aggregate functions — Trino Documentation",
+          "source_query_id": "Trino approx_percentile"
+        },
+        {
+          "url": "https://docs.snowflake.com/en/sql-reference/functions/percentile_cont",
+          "title": "PERCENTILE_CONT | Snowflake Documentation",
+          "source_query_id": "Snowflake PERCENTILE_CONT grouped example"
+        },
+        {
+          "url": "https://clickhouse.com/docs/sql-reference/aggregate-functions/reference/quantile",
+          "title": "quantile | ClickHouse Docs",
+          "source_query_id": "ClickHouse quantile example"
+        },
+        {
+          "url": "https://druid.apache.org/docs/latest/querying/sql-functions/",
+          "title": "All Druid SQL functions | Apache Druid",
+          "source_query_id": "Druid APPROX_QUANTILE_DS example"
+        },
+        {
+          "url": "https://docs.pinot.apache.org/functions/aggregation/percentile",
+          "title": "percentile | Apache Pinot Docs",
+          "source_query_id": "Pinot percentile example"
+        }
+      ],
+      "status": "ready",
+      "notes": "Canonical percentile-point family added so the library can represent p95/p99 style tail monitoring without returning full quantile slices.",
+      "materialization_bucket": "core",
+      "activation_tier": "optional",
+      "dialect_sensitive": true,
+      "dialect_notes": "Represents a canonical percentile-point family, but concrete SQL differs across engines (for example PERCENTILE_CONT, APPROX_QUANTILES, approx_percentile, or quantile-style syntax).",
+      "family_id": "tail_rarity_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "tail_concentration_consistency"
+      ],
+      "allowed_variant_roles": [
+        "focused_target_view",
+        "ranked_signal_view"
+      ],
+      "default_facet_ids": [
+        "rare_target_concentration"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 10,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "source_workload_id": "druid_sql_functions",
+      "primary_family": "tail_rarity_structure",
+      "secondary_family": "conditional_dependency_structure",
+      "intent": "Estimate how rare a threshold is by reporting the empirical CDF value at that threshold.",
+      "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "required_roles": [
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://druid.apache.org/docs/latest/querying/sql-functions/",
+        "title": "All Druid SQL functions | Apache Druid",
+        "source_query_id": "Druid DS_RANK example"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://druid.apache.org/docs/latest/querying/sql-functions/",
+          "title": "All Druid SQL functions | Apache Druid",
+          "source_query_id": "Druid DS_RANK example"
+        }
+      ],
+      "status": "ready",
+      "notes": "Added because it answers a different question from percentile-point queries: not 'what is p99?' but 'how rare is threshold T?'",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "tail_rarity_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "tail_set_consistency"
+      ],
+      "allowed_variant_roles": [
+        "rare_extreme_view"
+      ],
+      "default_facet_ids": [
+        "low_support_extremes"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 11,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "tail_rarity_structure",
+      "secondary_family": null,
+      "intent": "New v2 agent template for sparse pairwise tail slices.",
+      "sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "required_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_agent_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_tail_pairwise_sparse_slice_v2"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_tail_pairwise_sparse_slice_v2"
+        }
+      ],
+      "status": "ready",
+      "notes": "New v2 agent template for sparse pairwise tail slices.",
+      "materialization_bucket": "v2_agent",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "tail_rarity_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "supported_canonical_subitem_ids": [
+        "tail_set_consistency",
+        "tail_mass_similarity"
+      ],
+      "allowed_variant_roles": [
+        "rare_extreme_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "low_support_extremes",
+        "tail_ranked_signal"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v2",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 12,
+      "planned_problem_count": 6,
+      "sql_variant_policy": "1-2"
+    }
+  ],
+  "selected_deterministic_templates": [
+    {
+      "template_id": "tpl_cardinality_distinct_share_profile",
+      "template_name": "Cardinality Distinct Share Profile",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "cardinality_structure",
+      "secondary_family": null,
+      "intent": "New deterministic template for v2.",
+      "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+      "required_roles": [
+        "group_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_deterministic_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_cardinality_distinct_share_profile"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_cardinality_distinct_share_profile"
+        }
+      ],
+      "status": "ready",
+      "notes": "New deterministic template for v2.",
+      "materialization_bucket": "v2_deterministic",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "cardinality_structure",
+      "realization_mode": "deterministic",
+      "binding_roles": [
+        "group_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "support_rank_profile_consistency"
+      ],
+      "allowed_variant_roles": [
+        "ranked_signal_view"
+      ],
+      "default_facet_ids": [
+        "value_imbalance_profile",
+        "support_concentration"
+      ],
+      "gate_priority": "deterministic",
+      "source_catalog": "template_library_v2",
+      "extended_family": true
+    },
+    {
+      "template_id": "tpl_cardinality_support_rank_profile",
+      "template_name": "Cardinality Support Rank Profile",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "cardinality_structure",
+      "secondary_family": null,
+      "intent": "New deterministic template for v2.",
+      "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+      "required_roles": [
+        "group_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_deterministic_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_cardinality_support_rank_profile"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_cardinality_support_rank_profile"
+        }
+      ],
+      "status": "ready",
+      "notes": "New deterministic template for v2.",
+      "materialization_bucket": "v2_deterministic",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "cardinality_structure",
+      "realization_mode": "deterministic",
+      "binding_roles": [
+        "group_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "support_rank_profile_consistency"
+      ],
+      "allowed_variant_roles": [
+        "count_distribution"
+      ],
+      "default_facet_ids": [
+        "value_imbalance_profile",
+        "support_concentration"
+      ],
+      "gate_priority": "deterministic",
+      "source_catalog": "template_library_v2",
+      "extended_family": true
+    },
+    {
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "cardinality_structure",
+      "secondary_family": null,
+      "intent": "New deterministic template for v2.",
+      "sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "required_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_deterministic_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_cardinality_high_card_response_stability"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_cardinality_high_card_response_stability"
+        }
+      ],
+      "status": "ready",
+      "notes": "New deterministic template for v2.",
+      "materialization_bucket": "v2_deterministic",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "cardinality_structure",
+      "realization_mode": "deterministic",
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "high_cardinality_response_stability"
+      ],
+      "allowed_variant_roles": [
+        "focused_target_view"
+      ],
+      "default_facet_ids": [
+        "target_cardinality_cross_section"
+      ],
+      "gate_priority": "deterministic",
+      "source_catalog": "template_library_v2",
+      "extended_family": true
+    }
+  ],
+  "selected_templates": [
+    {
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "subgroup_structure",
+      "secondary_family": null,
+      "intent": "Compare mean numeric outcomes across subgroups.",
+      "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "required_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0012"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0012"
+        }
+      ],
+      "status": "ready",
+      "notes": "One of the most reusable regression-style templates among the public insurance SQL repository exemplars.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "internal_profile_stability"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_rank_order",
+        "subgroup_conditional_contrast",
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 1,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "subgroup_structure",
+      "secondary_family": "tail_rarity_structure",
+      "intent": "Compute subgroup averages only when support exceeds a configurable minimum.",
+      "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "required_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "support_guard:minimum_group_size",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0025"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0025"
+        }
+      ],
+      "status": "ready",
+      "notes": "Reclassified as analytics because the support guard is part of the query semantics rather than an external evaluation rule.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "internal_profile_stability"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_rank_order",
+        "subgroup_conditional_contrast",
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 2,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "source_workload_id": "car_evaluation_sql_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Measure how a categorical target rate changes across a pair of subgroup axes.",
+      "sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "required_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "group_col_2:groupable_distinct_from_group_col",
+        "target_col:categorical_or_binary",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql",
+        "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL",
+        "source_query_id": "c2_sql_0007"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql",
+          "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL",
+          "source_query_id": "c2_sql_0007"
+        }
+      ],
+      "status": "ready",
+      "notes": "Strong fit for classification-style single-table datasets; partial on regression tasks.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "dependency_strength_similarity",
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "within_group_proportion",
+        "ranked_signal_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift",
+        "pairwise_conditional_dependency"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 3,
+      "planned_problem_count": 9,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "source_workload_id": "insurance_sql_analysis_repo",
+      "primary_family": "subgroup_structure",
+      "secondary_family": "conditional_dependency_structure",
+      "intent": "Compare average numeric outcomes across a two-way subgroup grid.",
+      "sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "required_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "group_col_2:groupable_distinct_from_group_col",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+        "title": "Analysis_queries.sql · insurance-sql-analysis",
+        "source_query_id": "m4_sql_0046"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+          "title": "Analysis_queries.sql · insurance-sql-analysis",
+          "source_query_id": "m4_sql_0046"
+        }
+      ],
+      "status": "ready",
+      "notes": "Clean public-repo analogue of pairwise interaction reporting.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "internal_profile_stability"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_rank_order",
+        "subgroup_conditional_contrast",
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 4,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Estimate the proportion of rows meeting a low-cardinality condition within each subgroup.",
+      "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "required_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "condition_col:binary_or_low_cardinality_preferred",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0016"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0016"
+        }
+      ],
+      "status": "ready",
+      "notes": "Strong analytics template for subgroup-conditional proportions with broad portability.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "dependency_strength_similarity",
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "within_group_proportion",
+        "focused_target_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift",
+        "pairwise_conditional_dependency"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 5,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "source_workload_id": "insurance_cost_project_sql_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Contrast two condition counts within each subgroup as a ratio.",
+      "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "required_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "condition_col:binary_or_low_cardinality_preferred",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+        "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+        "source_query_id": "m4_sql_0026"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql",
+          "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL",
+          "source_query_id": "m4_sql_0026"
+        }
+      ],
+      "status": "ready",
+      "notes": "Captures a common dashboard KPI style rather than a benchmark-only artifact.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "contrastive_conditional_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 6,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "source_workload_id": "clickhouse_aggregate_docs",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "tail_rarity_structure",
+      "intent": "Report subgroup percentile points only for rows satisfying a low-cardinality condition.",
+      "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "required_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "condition_col:binary_or_low_cardinality_preferred",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf",
+        "title": "quantilesTimingIf | ClickHouse Docs",
+        "source_query_id": "ClickHouse quantilesTimingIf example"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf",
+          "title": "quantilesTimingIf | ClickHouse Docs",
+          "source_query_id": "ClickHouse quantilesTimingIf example"
+        }
+      ],
+      "status": "ready",
+      "notes": "Kept optional because it is highly valuable for observability-style tails but more dialect-sensitive than the rest of the core library.",
+      "materialization_bucket": "core",
+      "activation_tier": "optional",
+      "dialect_sensitive": true,
+      "dialect_notes": "Uses percentile syntax plus conditional aggregation/filter semantics. Keep it optional unless the downstream engine supports ordered-set percentiles and FILTER/If-style conditioning.",
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "slice_level_consistency",
+        "direction_consistency"
+      ],
+      "allowed_variant_roles": [
+        "focused_target_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "conditional_rate_shift",
+        "conditional_interaction_hotspots"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 7,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "source_workload_id": "insurance_sql_analysis_repo",
+      "primary_family": "conditional_dependency_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Bin a numeric feature into coarse buckets and compare average outcomes across those bins.",
+      "sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "required_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "band_col:ordered_or_numeric",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "partial",
+      "provenance": {
+        "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+        "title": "Analysis_queries.sql · insurance-sql-analysis",
+        "source_query_id": "m4_sql_0044"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://github.com/Shagufta-DataAnalyst/insurance-sql-analysis/blob/main/Analysis_queries.sql",
+          "title": "Analysis_queries.sql · insurance-sql-analysis",
+          "source_query_id": "m4_sql_0044"
+        }
+      ],
+      "status": "ready",
+      "notes": "Important for numeric-heavy datasets where raw continuous features must be discretized before subgroup reasoning.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "conditional_dependency_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "slice_level_consistency"
+      ],
+      "allowed_variant_roles": [
+        "collapsed_target_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "conditional_interaction_hotspots"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 8,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "source_workload_id": "clickbench_hits",
+      "primary_family": "subgroup_structure",
+      "secondary_family": "conditional_dependency_structure",
+      "intent": "Rank subgroups by support within a filtered slice.",
+      "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "required_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "predicate_col:filterable",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql",
+        "title": "clickhouse/queries.sql · ClickBench",
+        "source_query_id": "ClickBench Q13"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql",
+          "title": "clickhouse/queries.sql · ClickBench",
+          "source_query_id": "ClickBench Q13"
+        }
+      ],
+      "status": "ready",
+      "notes": "A cleaner heavy-hitter slice than the existing two-dimensional filtered count template.",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "subgroup_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "subgroup_size_stability"
+      ],
+      "allowed_variant_roles": [
+        "count_distribution",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "subgroup_distribution_shift"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 9,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "source_workload_id": "bigquery_approx_aggregate_docs",
+      "primary_family": "tail_rarity_structure",
+      "secondary_family": "subgroup_structure",
+      "intent": "Report a percentile point such as p95 or p99 for each subgroup instead of returning the raw tail rows.",
+      "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "required_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "group_col:groupable",
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions",
+        "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation",
+        "source_query_id": "BigQuery APPROX_QUANTILES example"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions",
+          "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation",
+          "source_query_id": "BigQuery APPROX_QUANTILES example"
+        },
+        {
+          "url": "https://trino.io/docs/current/functions/aggregate.html",
+          "title": "Aggregate functions — Trino Documentation",
+          "source_query_id": "Trino approx_percentile"
+        },
+        {
+          "url": "https://docs.snowflake.com/en/sql-reference/functions/percentile_cont",
+          "title": "PERCENTILE_CONT | Snowflake Documentation",
+          "source_query_id": "Snowflake PERCENTILE_CONT grouped example"
+        },
+        {
+          "url": "https://clickhouse.com/docs/sql-reference/aggregate-functions/reference/quantile",
+          "title": "quantile | ClickHouse Docs",
+          "source_query_id": "ClickHouse quantile example"
+        },
+        {
+          "url": "https://druid.apache.org/docs/latest/querying/sql-functions/",
+          "title": "All Druid SQL functions | Apache Druid",
+          "source_query_id": "Druid APPROX_QUANTILE_DS example"
+        },
+        {
+          "url": "https://docs.pinot.apache.org/functions/aggregation/percentile",
+          "title": "percentile | Apache Pinot Docs",
+          "source_query_id": "Pinot percentile example"
+        }
+      ],
+      "status": "ready",
+      "notes": "Canonical percentile-point family added so the library can represent p95/p99 style tail monitoring without returning full quantile slices.",
+      "materialization_bucket": "core",
+      "activation_tier": "optional",
+      "dialect_sensitive": true,
+      "dialect_notes": "Represents a canonical percentile-point family, but concrete SQL differs across engines (for example PERCENTILE_CONT, APPROX_QUANTILES, approx_percentile, or quantile-style syntax).",
+      "family_id": "tail_rarity_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "tail_concentration_consistency"
+      ],
+      "allowed_variant_roles": [
+        "focused_target_view",
+        "ranked_signal_view"
+      ],
+      "default_facet_ids": [
+        "rare_target_concentration"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 10,
+      "planned_problem_count": 8,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "source_workload_id": "druid_sql_functions",
+      "primary_family": "tail_rarity_structure",
+      "secondary_family": "conditional_dependency_structure",
+      "intent": "Estimate how rare a threshold is by reporting the empirical CDF value at that threshold.",
+      "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "required_roles": [
+        "measure_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "measure_col:numeric",
+        "single_table_only"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "https://druid.apache.org/docs/latest/querying/sql-functions/",
+        "title": "All Druid SQL functions | Apache Druid",
+        "source_query_id": "Druid DS_RANK example"
+      },
+      "provenance_sources": [
+        {
+          "url": "https://druid.apache.org/docs/latest/querying/sql-functions/",
+          "title": "All Druid SQL functions | Apache Druid",
+          "source_query_id": "Druid DS_RANK example"
+        }
+      ],
+      "status": "ready",
+      "notes": "Added because it answers a different question from percentile-point queries: not 'what is p99?' but 'how rare is threshold T?'",
+      "materialization_bucket": "core",
+      "activation_tier": "core",
+      "dialect_sensitive": false,
+      "family_id": "tail_rarity_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "measure_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "tail_set_consistency"
+      ],
+      "allowed_variant_roles": [
+        "rare_extreme_view"
+      ],
+      "default_facet_ids": [
+        "low_support_extremes"
+      ],
+      "gate_priority": "primary",
+      "source_catalog": "template_library_v1",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 11,
+      "planned_problem_count": 7,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "tail_rarity_structure",
+      "secondary_family": null,
+      "intent": "New v2 agent template for sparse pairwise tail slices.",
+      "sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "required_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_agent_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_tail_pairwise_sparse_slice_v2"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_tail_pairwise_sparse_slice_v2"
+        }
+      ],
+      "status": "ready",
+      "notes": "New v2 agent template for sparse pairwise tail slices.",
+      "materialization_bucket": "v2_agent",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "tail_rarity_structure",
+      "realization_mode": "agent",
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "supported_canonical_subitem_ids": [
+        "tail_set_consistency",
+        "tail_mass_similarity"
+      ],
+      "allowed_variant_roles": [
+        "rare_extreme_view",
+        "filtered_stable_view"
+      ],
+      "default_facet_ids": [
+        "low_support_extremes",
+        "tail_ranked_signal"
+      ],
+      "gate_priority": "support",
+      "source_catalog": "template_library_v2",
+      "extended_family": false,
+      "selection_mode": "cli",
+      "selected_template_rank": 12,
+      "planned_problem_count": 6,
+      "sql_variant_policy": "1-2"
+    },
+    {
+      "template_id": "tpl_cardinality_distinct_share_profile",
+      "template_name": "Cardinality Distinct Share Profile",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "cardinality_structure",
+      "secondary_family": null,
+      "intent": "New deterministic template for v2.",
+      "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+      "required_roles": [
+        "group_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_deterministic_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_cardinality_distinct_share_profile"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_cardinality_distinct_share_profile"
+        }
+      ],
+      "status": "ready",
+      "notes": "New deterministic template for v2.",
+      "materialization_bucket": "v2_deterministic",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "cardinality_structure",
+      "realization_mode": "deterministic",
+      "binding_roles": [
+        "group_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "support_rank_profile_consistency"
+      ],
+      "allowed_variant_roles": [
+        "ranked_signal_view"
+      ],
+      "default_facet_ids": [
+        "value_imbalance_profile",
+        "support_concentration"
+      ],
+      "gate_priority": "deterministic",
+      "source_catalog": "template_library_v2",
+      "extended_family": true
+    },
+    {
+      "template_id": "tpl_cardinality_support_rank_profile",
+      "template_name": "Cardinality Support Rank Profile",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "cardinality_structure",
+      "secondary_family": null,
+      "intent": "New deterministic template for v2.",
+      "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+      "required_roles": [
+        "group_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_deterministic_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_cardinality_support_rank_profile"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_cardinality_support_rank_profile"
+        }
+      ],
+      "status": "ready",
+      "notes": "New deterministic template for v2.",
+      "materialization_bucket": "v2_deterministic",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "cardinality_structure",
+      "realization_mode": "deterministic",
+      "binding_roles": [
+        "group_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "support_rank_profile_consistency"
+      ],
+      "allowed_variant_roles": [
+        "count_distribution"
+      ],
+      "default_facet_ids": [
+        "value_imbalance_profile",
+        "support_concentration"
+      ],
+      "gate_priority": "deterministic",
+      "source_catalog": "template_library_v2",
+      "extended_family": true
+    },
+    {
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "source_workload_id": "subitem_workload_v2",
+      "primary_family": "cardinality_structure",
+      "secondary_family": null,
+      "intent": "New deterministic template for v2.",
+      "sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "required_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "optional_roles": [],
+      "constraints": [
+        "single_table_only",
+        "v2_deterministic_template"
+      ],
+      "single_table_portable": "yes",
+      "provenance": {
+        "url": "local://subitem_workload_v2",
+        "title": "Locally authored v2 template",
+        "source_query_id": "tpl_cardinality_high_card_response_stability"
+      },
+      "provenance_sources": [
+        {
+          "url": "local://subitem_workload_v2",
+          "title": "Locally authored v2 template",
+          "source_query_id": "tpl_cardinality_high_card_response_stability"
+        }
+      ],
+      "status": "ready",
+      "notes": "New deterministic template for v2.",
+      "materialization_bucket": "v2_deterministic",
+      "activation_tier": "v2",
+      "dialect_sensitive": false,
+      "family_id": "cardinality_structure",
+      "realization_mode": "deterministic",
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "supported_canonical_subitem_ids": [
+        "high_cardinality_response_stability"
+      ],
+      "allowed_variant_roles": [
+        "focused_target_view"
+      ],
+      "default_facet_ids": [
+        "target_cardinality_cross_section"
+      ],
+      "gate_priority": "deterministic",
+      "source_catalog": "template_library_v2",
+      "extended_family": true
+    }
+  ],
+  "items": [
+    {
+      "query_record_id": "v2q_m4_5fe5c51166778b43",
+      "problem_id": "v2p_m4_7a463ece1922461b",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "top_k": 10,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=0"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_08404833d3eb23f2",
+      "problem_id": "v2p_m4_02a05b4f67595533",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "top_k": 15,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=0"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_0b726cb96e9aa19e",
+      "problem_id": "v2p_m4_967cde8530d21c44",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "bmi",
+        "top_k": 11,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/2",
+        "binding_index=1"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_adccbe77e5460ce6",
+      "problem_id": "v2p_m4_bf3e667d6a083065",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "bmi",
+        "top_k": 16,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=2/2",
+        "binding_index=1"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_ce12b7285c877b61",
+      "problem_id": "v2p_m4_d53eece879f42a7a",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, measure_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "top_k": 12,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=2"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_2f1ddaef1eaff48c",
+      "problem_id": "v2p_m4_6f8dbb3d7baaa6f8",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, measure_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "top_k": 17,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=2"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_19565a979760e899",
+      "problem_id": "v2p_m4_ec14dde01b4bde3b",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=age.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "age",
+        "top_k": 13,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/2",
+        "binding_index=3"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_4113aa8db12a7279",
+      "problem_id": "v2p_m4_78a0a09b39995a61",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=age.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "age",
+        "top_k": 18,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=2/2",
+        "binding_index=3"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e1efd10c8e648d14",
+      "problem_id": "v2p_m4_87e96cf8da14d9a2",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=bmi.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "top_k": 14,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=4"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_99b49d1080f4fc2a",
+      "problem_id": "v2p_m4_3065e2670aee975f",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=bmi.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "top_k": 19,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=4"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_b0a04ea4c16d689e",
+      "problem_id": "v2p_m4_10290f0691a2e5fb",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "children",
+        "top_k": 10,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/2",
+        "binding_index=5"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_265ee63b932a2383",
+      "problem_id": "v2p_m4_d363e331b8c1466d",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "children",
+        "top_k": 15,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=2/2",
+        "binding_index=5"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_b1f454c169ccfe4d",
+      "problem_id": "v2p_m4_4fa2dc2ad55ec365",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, measure_col=age.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "top_k": 11,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=6"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_6fa322946270ed22",
+      "problem_id": "v2p_m4_bb809e1d487e8129",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_avg_numeric",
+      "template_name": "Grouped Numeric Mean",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, measure_col=age.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "top_k": 16,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=6"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 1,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e8c6596a425e7d7f",
+      "problem_id": "v2p_m4_809ebbddf3ad45b3",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "top_k": 12,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=12"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_fcd73825378cc806",
+      "problem_id": "v2p_m4_9c07fd4faebae658",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "top_k": 17,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=12"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_0c35b494385f3a23",
+      "problem_id": "v2p_m4_b9e84ce752c08527",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=children, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "bmi",
+        "top_k": 13,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/2",
+        "binding_index=13"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_289f63438562b5ed",
+      "problem_id": "v2p_m4_dd41b2c0cfa7ec9c",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "bmi",
+        "top_k": 18,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=2/2",
+        "binding_index=13"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_70fbe20f5fc24e40",
+      "problem_id": "v2p_m4_b7b821a2526fef95",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, measure_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "top_k": 14,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=14"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_312d3f529046dd4a",
+      "problem_id": "v2p_m4_eefd482a7e754403",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "top_k": 19,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=14"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_a006bed7e401a431",
+      "problem_id": "v2p_m4_d4596737c72efc1d",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=region, measure_col=age.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "age",
+        "top_k": 10,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/2",
+        "binding_index=15"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_53fe92b2a2c3b031",
+      "problem_id": "v2p_m4_41c0624c587d4e29",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=age.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "age",
+        "top_k": 15,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=2/2",
+        "binding_index=15"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_5725d963f6ff55f9",
+      "problem_id": "v2p_m4_8547e1ce0881f169",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=bmi.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "top_k": 11,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=16"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_35a97d5b3c3d8956",
+      "problem_id": "v2p_m4_10258a026c70a35a",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=bmi.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "top_k": 16,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=16"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_6f02b3335a76db9d",
+      "problem_id": "v2p_m4_4a7662f2e99ca695",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=children, measure_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "children",
+        "top_k": 12,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/2",
+        "binding_index=17"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_5a78a98c8c5ea09e",
+      "problem_id": "v2p_m4_720bf0c30554eb3c",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "children",
+        "top_k": 17,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=2/2",
+        "binding_index=17"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_4fd176a133c9fe63",
+      "problem_id": "v2p_m4_82a2abf67068b5c6",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, measure_col=age.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "top_k": 13,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=18"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_9e4cdbf143eb5b81",
+      "problem_id": "v2p_m4_adb4044479ff5f18",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=age.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "top_k": 18,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=18"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_880f6e58e1e666ea",
+      "problem_id": "v2p_m4_10ad248870d89d6b",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=region, measure_col=bmi.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "bmi",
+        "top_k": 14,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=1/2",
+        "binding_index=19"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_3f070ac66e939274",
+      "problem_id": "v2p_m4_df071f24cc89fc0a",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_support_guarded_group_avg",
+      "template_name": "Support-Guarded Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=bmi.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "bmi",
+        "top_k": 19,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=2/2",
+        "binding_index=19"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 2,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d2cce2edbc640b3d",
+      "problem_id": "v2p_m4_3f723e9160cf42e0",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, group_col_2=children, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "target_col": "charges",
+        "target_value": "10096.97",
+        "top_k": 14,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=24"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_535b7b7bbcb9c99b",
+      "problem_id": "v2p_m4_9d7854e881fd46d9",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=sex, group_col_2=children, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "target_col": "charges",
+        "target_value": "10096.97",
+        "top_k": 19,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=24"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_afa7cee60c67e919",
+      "problem_id": "v2p_m4_0905ce4749de5875",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=sex, group_col_2=smoker, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "smoker",
+        "target_col": "charges",
+        "target_value": "10602.385",
+        "top_k": 10,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/2",
+        "binding_index=25"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_1d1b70770caec967",
+      "problem_id": "v2p_m4_2c296addd68ae20a",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=sex, group_col_2=smoker, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "smoker",
+        "target_col": "charges",
+        "target_value": "10602.385",
+        "top_k": 15,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=2/2",
+        "binding_index=25"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e147274165c3020b",
+      "problem_id": "v2p_m4_974d84026780e701",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "10797.3362",
+        "top_k": 11,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=26"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_83f2bf1cce73364d",
+      "problem_id": "v2p_m4_110f19526af73a61",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=sex, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "10797.3362",
+        "top_k": 16,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=26"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_5510c13dbc642857",
+      "problem_id": "v2p_m4_2e60a713d42ae80b",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=children, group_col_2=smoker, target_col=charges.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "smoker",
+        "target_col": "charges",
+        "target_value": "11090.7178",
+        "top_k": 12,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/2",
+        "binding_index=27"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_a1a784c5b74bfd34",
+      "problem_id": "v2p_m4_d0fec27673b9029c",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=children, group_col_2=smoker, target_col=charges.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "smoker",
+        "target_col": "charges",
+        "target_value": "11090.7178",
+        "top_k": 17,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=2/2",
+        "binding_index=27"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_f144ce956a23d883",
+      "problem_id": "v2p_m4_334f410787927700",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=children, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "1121.8739",
+        "top_k": 13,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=28"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_c52dfa18b759048e",
+      "problem_id": "v2p_m4_01da5a9f2262cdd7",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=children, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "1121.8739",
+        "top_k": 18,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=28"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_0e0cbfae25b8a1b2",
+      "problem_id": "v2p_m4_48be0a64ea281f0a",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=smoker, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "smoker",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "1135.9407",
+        "top_k": 14,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/2",
+        "binding_index=29"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_719680114d3ee334",
+      "problem_id": "v2p_m4_d16e2b18c9a555a5",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=smoker, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "smoker",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "1135.9407",
+        "top_k": 19,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=2/2",
+        "binding_index=29"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d52b74d968f0d7ed",
+      "problem_id": "v2p_m4_94dd0ae57e088e5e",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, group_col_2=children, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "target_col": "charges",
+        "target_value": "12032.326",
+        "top_k": 10,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=30"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_6feade3e1baff465",
+      "problem_id": "v2p_m4_a3481ed17350ced9",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=sex, group_col_2=children, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "target_col": "charges",
+        "target_value": "12032.326",
+        "top_k": 15,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=30"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_7ade6970a3fe0543",
+      "problem_id": "v2p_m4_43b55e9b2d9c053b",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=sex, group_col_2=smoker, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "smoker",
+        "target_col": "charges",
+        "target_value": "12224.35085",
+        "top_k": 11,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=1/2",
+        "binding_index=31"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_9d616aac1d185019",
+      "problem_id": "v2p_m4_5ce781dc4fc7a434",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=sex, group_col_2=smoker, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "smoker",
+        "target_col": "charges",
+        "target_value": "12224.35085",
+        "top_k": 16,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=2/2",
+        "binding_index=31"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_76935af136f20997",
+      "problem_id": "v2p_m4_bf3c5101d2622eb6",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "10096.97",
+        "top_k": 12,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=9",
+        "sql_variant_index=1/2",
+        "binding_index=32"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 9,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_7ca649a012527c4d",
+      "problem_id": "v2p_m4_550c887877c22fc6",
+      "dataset_id": "m4",
+      "template_id": "tpl_c2_two_dim_target_rate",
+      "template_name": "Two-Axis Target Rate Surface",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=sex, group_col_2=region, target_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "target_col": "charges",
+        "target_value": "10096.97",
+        "top_k": 17,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "target_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n       AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=9",
+        "sql_variant_index=2/2",
+        "binding_index=32"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 3,
+      "problem_index_within_template": 9,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_ba9da7fe2e00ea92",
+      "problem_id": "v2p_m4_95d00220c60e72e5",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, group_col_2=children, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "measure_col": "age",
+        "top_k": 11,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=36"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_481987bb936cc412",
+      "problem_id": "v2p_m4_41a3b6b9a79d0196",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, group_col_2=children, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "measure_col": "age",
+        "top_k": 16,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=36"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_5d411bbdda2a2f1b",
+      "problem_id": "v2p_m4_830ca954fd30b199",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, group_col_2=smoker, measure_col=bmi.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "smoker",
+        "measure_col": "bmi",
+        "top_k": 12,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1",
+        "binding_index=37"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_a2bce27e7cc89825",
+      "problem_id": "v2p_m4_abcc7d5abaa5de73",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, group_col_2=region, measure_col=children.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "measure_col": "children",
+        "top_k": 13,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=38"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_6a683385692aae9c",
+      "problem_id": "v2p_m4_5af511af3e4d03aa",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, group_col_2=region, measure_col=children.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "measure_col": "children",
+        "top_k": 18,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=38"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_3d308ed75b5c759e",
+      "problem_id": "v2p_m4_7b45043a11ad6a79",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, group_col_2=smoker, measure_col=age.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "smoker",
+        "measure_col": "age",
+        "top_k": 14,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1",
+        "binding_index=39"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_bbbc3959b75acdc2",
+      "problem_id": "v2p_m4_9f04763535329747",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, group_col_2=region, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "region",
+        "measure_col": "bmi",
+        "top_k": 10,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=40"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_1738401e2012e53e",
+      "problem_id": "v2p_m4_cc50281dffdcfb9b",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, group_col_2=region, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "region",
+        "measure_col": "bmi",
+        "top_k": 15,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=40"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_642da599c76eaa97",
+      "problem_id": "v2p_m4_e645d92c3a5b0a83",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_conditional_contrast",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, group_col_2=region, measure_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "group_col_2": "region",
+        "measure_col": "children",
+        "top_k": 11,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/1",
+        "binding_index=41"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_ceb3d4698f168f3a",
+      "problem_id": "v2p_m4_06a47d20259be27a",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, group_col_2=children, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "measure_col": "age",
+        "top_k": 12,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=42"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_7074ab4652ea3f2a",
+      "problem_id": "v2p_m4_26e507969152088b",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_two_dimensional_group_avg",
+      "template_name": "Two-Dimensional Group Average",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "internal_profile_stability",
+      "intended_facet_id": "subgroup_rank_order",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Two-Dimensional Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, group_col_2=children, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "measure_col": "age",
+        "top_k": 17,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=42"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 4,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_cb61d4dbc81198cc",
+      "problem_id": "v2p_m4_b5529a82eb34cb8c",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, condition_col=smoker.",
+      "bindings": {
+        "group_col": "sex",
+        "condition_col": "smoker",
+        "condition_value": "no",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 13,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=48"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_79bab298933cf2a8",
+      "problem_id": "v2p_m4_336534ccaa9ef3cf",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sex, condition_col=smoker.",
+      "bindings": {
+        "group_col": "sex",
+        "condition_col": "smoker",
+        "condition_value": "yes",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 18,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=48"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_cbfa8b15feebcc5a",
+      "problem_id": "v2p_m4_8d3de196b1f8f37f",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=region.",
+      "bindings": {
+        "group_col": "children",
+        "condition_col": "region",
+        "condition_value": "southeast",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 14,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/2",
+        "binding_index=49"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_cdcfbb32803850ef",
+      "problem_id": "v2p_m4_704ad59ef32105da",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=children, condition_col=region.",
+      "bindings": {
+        "group_col": "children",
+        "condition_col": "region",
+        "condition_value": "southwest",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 19,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=2/2",
+        "binding_index=49"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_b4a6f06bb1b67af8",
+      "problem_id": "v2p_m4_f7ffecd1f36c8a1b",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoker, condition_col=charges.",
+      "bindings": {
+        "group_col": "smoker",
+        "condition_col": "charges",
+        "condition_value": "10096.97",
+        "positive_value": "10096.97",
+        "negative_value": "10602.385",
+        "top_k": 10,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=50"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_dc322e752df02303",
+      "problem_id": "v2p_m4_3444fbdd36478cfa",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoker, condition_col=charges.",
+      "bindings": {
+        "group_col": "smoker",
+        "condition_col": "charges",
+        "condition_value": "10602.385",
+        "positive_value": "10096.97",
+        "negative_value": "10602.385",
+        "top_k": 15,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=50"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_0a9d7a958f90c066",
+      "problem_id": "v2p_m4_fec222b5d057fbb0",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=sex.",
+      "bindings": {
+        "group_col": "region",
+        "condition_col": "sex",
+        "condition_value": "male",
+        "positive_value": "male",
+        "negative_value": "female",
+        "top_k": 11,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/2",
+        "binding_index=51"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_0028b5dc97fdb1bc",
+      "problem_id": "v2p_m4_85d3ff1ff5096731",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=region, condition_col=sex.",
+      "bindings": {
+        "group_col": "region",
+        "condition_col": "sex",
+        "condition_value": "female",
+        "positive_value": "male",
+        "negative_value": "female",
+        "top_k": 16,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=2/2",
+        "binding_index=51"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_5f0760537cc872d9",
+      "problem_id": "v2p_m4_59854db22e39174d",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, condition_col=children.",
+      "bindings": {
+        "group_col": "sex",
+        "condition_col": "children",
+        "condition_value": "0",
+        "positive_value": "0",
+        "negative_value": "1",
+        "top_k": 12,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=52"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_2a18e197510226c8",
+      "problem_id": "v2p_m4_ac1f37f2bc90dcfd",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sex, condition_col=children.",
+      "bindings": {
+        "group_col": "sex",
+        "condition_col": "children",
+        "condition_value": "1",
+        "positive_value": "0",
+        "negative_value": "1",
+        "top_k": 17,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=52"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_37844a608f60dd58",
+      "problem_id": "v2p_m4_ab3cf9e7408f579c",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=smoker.",
+      "bindings": {
+        "group_col": "children",
+        "condition_col": "smoker",
+        "condition_value": "no",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 13,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/2",
+        "binding_index=53"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_a758e2b1743df187",
+      "problem_id": "v2p_m4_8f32f3c1e5cbc0e6",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=children, condition_col=smoker.",
+      "bindings": {
+        "group_col": "children",
+        "condition_col": "smoker",
+        "condition_value": "yes",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 18,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=2/2",
+        "binding_index=53"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_27cb07380393c652",
+      "problem_id": "v2p_m4_28629f91f3d512a0",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoker, condition_col=region.",
+      "bindings": {
+        "group_col": "smoker",
+        "condition_col": "region",
+        "condition_value": "southeast",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 14,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=54"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_649c9e91330b6b44",
+      "problem_id": "v2p_m4_a86af777d6b2826e",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "dependency_strength_similarity",
+      "intended_facet_id": "pairwise_conditional_dependency",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoker, condition_col=region.",
+      "bindings": {
+        "group_col": "smoker",
+        "condition_col": "region",
+        "condition_value": "southwest",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 19,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=pairwise_conditional_dependency",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=54"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_0448b2da7318c4cb",
+      "problem_id": "v2p_m4_18e3ab0f3fa7da59",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=charges.",
+      "bindings": {
+        "group_col": "region",
+        "condition_col": "charges",
+        "condition_value": "10096.97",
+        "positive_value": "10096.97",
+        "negative_value": "10602.385",
+        "top_k": 10,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=1/2",
+        "binding_index=55"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_6e5e61f078894fb3",
+      "problem_id": "v2p_m4_6a322835e8b9e6d7",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_condition_rate",
+      "template_name": "Grouped Condition Rate",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "within_group_proportion",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=region, condition_col=charges.",
+      "bindings": {
+        "group_col": "region",
+        "condition_col": "charges",
+        "condition_value": "10602.385",
+        "positive_value": "10096.97",
+        "negative_value": "10602.385",
+        "top_k": 15,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=2/2",
+        "binding_index=55"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 5,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_07fe452984b5a721",
+      "problem_id": "v2p_m4_9c84edbc29021be2",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=sex, condition_col=charges.",
+      "bindings": {
+        "group_col": "sex",
+        "condition_col": "charges",
+        "condition_value": "10096.97",
+        "positive_value": "10096.97",
+        "negative_value": "10602.385",
+        "top_k": 10,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/1",
+        "binding_index=60"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_75e04183a81d662a",
+      "problem_id": "v2p_m4_6702a85f0e7449f1",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=children, condition_col=sex.",
+      "bindings": {
+        "group_col": "children",
+        "condition_col": "sex",
+        "condition_value": "male",
+        "positive_value": "male",
+        "negative_value": "female",
+        "top_k": 11,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1",
+        "binding_index=61"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_a28a1d3f6b81ce21",
+      "problem_id": "v2p_m4_af9e046c98beaaa1",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=smoker, condition_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "condition_col": "children",
+        "condition_value": "0",
+        "positive_value": "0",
+        "negative_value": "1",
+        "top_k": 12,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/1",
+        "binding_index=62"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_49297d9c933b8f0d",
+      "problem_id": "v2p_m4_ec2d65066daeb2fa",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=region, condition_col=smoker.",
+      "bindings": {
+        "group_col": "region",
+        "condition_col": "smoker",
+        "condition_value": "no",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 13,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1",
+        "binding_index=63"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_4c5bcf5ee715b5c5",
+      "problem_id": "v2p_m4_da58f0ab8d265211",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=sex, condition_col=region.",
+      "bindings": {
+        "group_col": "sex",
+        "condition_col": "region",
+        "condition_value": "southeast",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 14,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/1",
+        "binding_index=64"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_c5dbc0bf49f7ce95",
+      "problem_id": "v2p_m4_cf2d4e0f6ba0d042",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=children, condition_col=charges.",
+      "bindings": {
+        "group_col": "children",
+        "condition_col": "charges",
+        "condition_value": "10096.97",
+        "positive_value": "10096.97",
+        "negative_value": "10602.385",
+        "top_k": 10,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/1",
+        "binding_index=65"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_c016924a6b1c1a7d",
+      "problem_id": "v2p_m4_5e726060b6294b1a",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=smoker, condition_col=sex.",
+      "bindings": {
+        "group_col": "smoker",
+        "condition_col": "sex",
+        "condition_value": "male",
+        "positive_value": "male",
+        "negative_value": "female",
+        "top_k": 11,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/1",
+        "binding_index=66"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_4569f5ece9b28130",
+      "problem_id": "v2p_m4_60f783bafc0e0659",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_group_ratio_two_conditions",
+      "template_name": "Grouped Ratio of Two Conditions",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "contrastive_conditional_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=region, condition_col=children.",
+      "bindings": {
+        "group_col": "region",
+        "condition_col": "children",
+        "condition_value": "0",
+        "positive_value": "0",
+        "negative_value": "1",
+        "top_k": 12,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=1/1",
+        "binding_index=67"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 6,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_8ad698266cda9f4d",
+      "problem_id": "v2p_m4_ce5b6e24506f9ccb",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=sex, measure_col=age, condition_col=children.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "condition_col": "children",
+        "condition_value": "0",
+        "positive_value": "0",
+        "negative_value": "1",
+        "top_k": 12,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=72"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d9cdfab86ee28814",
+      "problem_id": "v2p_m4_b0ed2caf667f7689",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=age, condition_col=children.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "condition_col": "children",
+        "condition_value": "1",
+        "positive_value": "0",
+        "negative_value": "1",
+        "top_k": 17,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=72"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_9223b5916096f461",
+      "problem_id": "v2p_m4_fa3b7162ad39d57a",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=children, measure_col=bmi, condition_col=smoker.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "bmi",
+        "condition_col": "smoker",
+        "condition_value": "no",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 13,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1",
+        "binding_index=73"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_5d591a8fe5841a19",
+      "problem_id": "v2p_m4_c3d112ecee8ac959",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=smoker, measure_col=children, condition_col=region.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "condition_col": "region",
+        "condition_value": "southeast",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 14,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=74"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_3774d9b4c2d0e80a",
+      "problem_id": "v2p_m4_5efe78e4fdb4faf8",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=children, condition_col=region.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "condition_col": "region",
+        "condition_value": "southwest",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 19,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=74"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_554568ed197aba5f",
+      "problem_id": "v2p_m4_4ca729a3f96d17f8",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=region, measure_col=age, condition_col=charges.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "age",
+        "condition_col": "charges",
+        "condition_value": "10096.97",
+        "positive_value": "10096.97",
+        "negative_value": "10602.385",
+        "top_k": 10,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1",
+        "binding_index=75"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_3e45e602ef70370e",
+      "problem_id": "v2p_m4_7262ecfa49c88cf8",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=sex, measure_col=bmi, condition_col=sex.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "condition_col": "sex",
+        "condition_value": "male",
+        "positive_value": "male",
+        "negative_value": "female",
+        "top_k": 11,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=76"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_5a65f78e8df33a1d",
+      "problem_id": "v2p_m4_54a7015b3da987cd",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=bmi, condition_col=sex.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "condition_col": "sex",
+        "condition_value": "female",
+        "positive_value": "male",
+        "negative_value": "female",
+        "top_k": 16,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=76"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_40c6143fe9d96382",
+      "problem_id": "v2p_m4_331497a5c0bf6e4b",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=children, measure_col=children, condition_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "children",
+        "condition_col": "children",
+        "condition_value": "0",
+        "positive_value": "0",
+        "negative_value": "1",
+        "top_k": 12,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/1",
+        "binding_index=77"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_5cd830c4db468b38",
+      "problem_id": "v2p_m4_8987865f84523f08",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=smoker, measure_col=age, condition_col=smoker.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "condition_col": "smoker",
+        "condition_value": "no",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 13,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=78"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_51fdd1b90eb1e60d",
+      "problem_id": "v2p_m4_69e2a9947e6848a7",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=age, condition_col=smoker.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "condition_col": "smoker",
+        "condition_value": "yes",
+        "positive_value": "no",
+        "negative_value": "yes",
+        "top_k": 18,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=78"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_ad663d5b85653231",
+      "problem_id": "v2p_m4_2530cc9a983970e9",
+      "dataset_id": "m4",
+      "template_id": "tpl_conditional_group_quantiles",
+      "template_name": "Conditional Group Quantiles",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "direction_consistency",
+      "intended_facet_id": "conditional_rate_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=region, measure_col=bmi, condition_col=region.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "bmi",
+        "condition_col": "region",
+        "condition_value": "southeast",
+        "positive_value": "southeast",
+        "negative_value": "southwest",
+        "top_k": 14,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col",
+        "condition_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n           FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;",
+      "notes": [
+        "default_facets=conditional_rate_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=1/1",
+        "binding_index=79"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 7,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_311b40caec0c84b1",
+      "problem_id": "v2p_m4_117ce967943a7891",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role collapsed_target_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "band_col": "age",
+        "band_cut_1": 30.0,
+        "band_cut_2": 47.0,
+        "lower_bound": 30.0,
+        "upper_bound": 47.0,
+        "top_k": 14,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=84"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_2e3ec645f5387cfa",
+      "problem_id": "v2p_m4_5c3af3f67106ec7a",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "band_col": "age",
+        "band_cut_1": 30.0,
+        "band_cut_2": 47.0,
+        "lower_bound": 30.0,
+        "upper_bound": 47.0,
+        "top_k": 19,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=84"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_93e455295e8ed61c",
+      "problem_id": "v2p_m4_e21fdf15366c7f25",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on measure_col=bmi.",
+      "bindings": {
+        "measure_col": "bmi",
+        "band_col": "bmi",
+        "band_cut_1": 27.72,
+        "band_cut_2": 33.11,
+        "lower_bound": 27.72,
+        "upper_bound": 33.11,
+        "top_k": 10,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1",
+        "binding_index=85"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_e4c35dca8cf9eca6",
+      "problem_id": "v2p_m4_9287e2e2e7ebfaeb",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role collapsed_target_view. Focus on measure_col=children.",
+      "bindings": {
+        "measure_col": "children",
+        "band_col": "children",
+        "band_cut_1": 0.0,
+        "band_cut_2": 1.0,
+        "lower_bound": 0.0,
+        "upper_bound": 1.0,
+        "top_k": 11,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=86"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_b5b4b8925dfa85ef",
+      "problem_id": "v2p_m4_749a78c9a9f4ee7b",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on measure_col=children.",
+      "bindings": {
+        "measure_col": "children",
+        "band_col": "children",
+        "band_cut_1": 0.0,
+        "band_cut_2": 1.0,
+        "lower_bound": 0.0,
+        "upper_bound": 1.0,
+        "top_k": 16,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=86"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_f5bb3cfe9069f078",
+      "problem_id": "v2p_m4_8546610e852b8366",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "band_col": "age",
+        "band_cut_1": 30.0,
+        "band_cut_2": 47.0,
+        "lower_bound": 30.0,
+        "upper_bound": 47.0,
+        "top_k": 12,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1",
+        "binding_index=87"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_2ee55e253ed15a6a",
+      "problem_id": "v2p_m4_751344bcd384cc9c",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role collapsed_target_view. Focus on measure_col=bmi.",
+      "bindings": {
+        "measure_col": "bmi",
+        "band_col": "bmi",
+        "band_cut_1": 27.72,
+        "band_cut_2": 33.11,
+        "lower_bound": 27.72,
+        "upper_bound": 33.11,
+        "top_k": 13,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=88"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e41e7bc9eb7fb762",
+      "problem_id": "v2p_m4_cb6f852ddd0d4729",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on measure_col=bmi.",
+      "bindings": {
+        "measure_col": "bmi",
+        "band_col": "bmi",
+        "band_cut_1": 27.72,
+        "band_cut_2": 33.11,
+        "lower_bound": 27.72,
+        "upper_bound": 33.11,
+        "top_k": 18,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=88"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_af09e4e093b7ed8b",
+      "problem_id": "v2p_m4_38156175bb0be9dd",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on measure_col=children.",
+      "bindings": {
+        "measure_col": "children",
+        "band_col": "children",
+        "band_cut_1": 0.0,
+        "band_cut_2": 1.0,
+        "lower_bound": 0.0,
+        "upper_bound": 1.0,
+        "top_k": 14,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/1",
+        "binding_index=89"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_2bf766a9dd80d5e0",
+      "problem_id": "v2p_m4_ad4bbb19ef685f21",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "collapsed_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role collapsed_target_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "band_col": "age",
+        "band_cut_1": 30.0,
+        "band_cut_2": 47.0,
+        "lower_bound": 30.0,
+        "upper_bound": 47.0,
+        "top_k": 10,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=90"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e61aba18dc1579a6",
+      "problem_id": "v2p_m4_393b6450bfaabedc",
+      "dataset_id": "m4",
+      "template_id": "tpl_m4_binned_numeric_group_avg",
+      "template_name": "Binned Numeric Group Average",
+      "family_id": "conditional_dependency_structure",
+      "canonical_subitem_id": "slice_level_consistency",
+      "intended_facet_id": "conditional_interaction_hotspots",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Binned Numeric Group Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "band_col": "age",
+        "band_cut_1": 30.0,
+        "band_cut_2": 47.0,
+        "lower_bound": 30.0,
+        "upper_bound": 47.0,
+        "top_k": 15,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "band_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT CASE\n           WHEN {band_col} < {band_cut_1} THEN 'low'\n           WHEN {band_col} < {band_cut_2} THEN 'mid'\n           ELSE 'high'\n       END AS band_bucket,\n       AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY band_bucket\nORDER BY avg_measure DESC;",
+      "notes": [
+        "default_facets=conditional_interaction_hotspots",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=90"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 8,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_715a8f06bcc80663",
+      "problem_id": "v2p_m4_943365237d8c5b64",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=sex.",
+      "bindings": {
+        "group_col": "sex",
+        "predicate_col": "region",
+        "predicate_op": "=",
+        "predicate_value": "southeast",
+        "top_k": 11,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=96"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_39f41b95de06ca96",
+      "problem_id": "v2p_m4_65640da70aa7caa7",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=sex.",
+      "bindings": {
+        "group_col": "sex",
+        "predicate_col": "bmi",
+        "predicate_op": ">=",
+        "predicate_value": 34.77,
+        "top_k": 16,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=96"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d828cdf2a0c1f497",
+      "problem_id": "v2p_m4_5ad45865eec5eff2",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "predicate_col": "charges",
+        "predicate_op": ">=",
+        "predicate_value": 16577.7795,
+        "top_k": 12,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/2",
+        "binding_index=97"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_ab9c30f9443ea46f",
+      "problem_id": "v2p_m4_ce1356ae5fa19330",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "predicate_col": "children",
+        "predicate_op": ">=",
+        "predicate_value": 2.0,
+        "top_k": 17,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=2/2",
+        "binding_index=97"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_991e5193f0e8beab",
+      "problem_id": "v2p_m4_5de996c1555eda34",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=smoker.",
+      "bindings": {
+        "group_col": "smoker",
+        "predicate_col": "age",
+        "predicate_op": ">=",
+        "predicate_value": 51.0,
+        "top_k": 13,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=98"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_9f862f0b42814c7c",
+      "problem_id": "v2p_m4_c8ce9a5ae9bc1cc6",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=smoker.",
+      "bindings": {
+        "group_col": "smoker",
+        "predicate_col": "smoker",
+        "predicate_op": "=",
+        "predicate_value": "no",
+        "top_k": 18,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=98"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_4b57b2703dc8e9b8",
+      "problem_id": "v2p_m4_1badbb2779818d51",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=region.",
+      "bindings": {
+        "group_col": "region",
+        "predicate_col": "sex",
+        "predicate_op": "=",
+        "predicate_value": "female",
+        "top_k": 14,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/2",
+        "binding_index=99"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d8be19967df1c131",
+      "problem_id": "v2p_m4_e5c0773451fce4a2",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region.",
+      "bindings": {
+        "group_col": "region",
+        "predicate_col": "region",
+        "predicate_op": "=",
+        "predicate_value": "northeast",
+        "top_k": 19,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=2/2",
+        "binding_index=99"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_8d6920a305ad18a5",
+      "problem_id": "v2p_m4_a21493c3bce1c3f3",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=sex.",
+      "bindings": {
+        "group_col": "sex",
+        "predicate_col": "bmi",
+        "predicate_op": ">=",
+        "predicate_value": 34.77,
+        "top_k": 10,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=100"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d83f11c9eda894ea",
+      "problem_id": "v2p_m4_91528d9194c79f45",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=sex.",
+      "bindings": {
+        "group_col": "sex",
+        "predicate_col": "charges",
+        "predicate_op": ">=",
+        "predicate_value": 16577.7795,
+        "top_k": 15,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=100"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_54f79e6a30b17da9",
+      "problem_id": "v2p_m4_4767f11b866c1e95",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "predicate_col": "children",
+        "predicate_op": ">=",
+        "predicate_value": 2.0,
+        "top_k": 11,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/2",
+        "binding_index=101"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_ffe04e75d3084df8",
+      "problem_id": "v2p_m4_1e73a0200a385d60",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "predicate_col": "age",
+        "predicate_op": ">=",
+        "predicate_value": 51.0,
+        "top_k": 16,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=2/2",
+        "binding_index=101"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_fcd73f29216c603a",
+      "problem_id": "v2p_m4_ccffc946ebda0724",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=smoker.",
+      "bindings": {
+        "group_col": "smoker",
+        "predicate_col": "smoker",
+        "predicate_op": "=",
+        "predicate_value": "no",
+        "top_k": 12,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=102"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_2f218d0e32bb100e",
+      "problem_id": "v2p_m4_e98a9bc3828fd9ae",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=smoker.",
+      "bindings": {
+        "group_col": "smoker",
+        "predicate_col": "sex",
+        "predicate_op": "=",
+        "predicate_value": "male",
+        "top_k": 17,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=102"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_ecd58a6668cf4830",
+      "problem_id": "v2p_m4_73d0e96f44ff45f1",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=region.",
+      "bindings": {
+        "group_col": "region",
+        "predicate_col": "region",
+        "predicate_op": "=",
+        "predicate_value": "northeast",
+        "top_k": 13,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=1/2",
+        "binding_index=103"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e26d883a564c1b2f",
+      "problem_id": "v2p_m4_541ed542f7f6f57a",
+      "dataset_id": "m4",
+      "template_id": "tpl_clickbench_filtered_topk_group_count",
+      "template_name": "Filtered Top-k Group Count",
+      "family_id": "subgroup_structure",
+      "canonical_subitem_id": "subgroup_size_stability",
+      "intended_facet_id": "subgroup_distribution_shift",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region.",
+      "bindings": {
+        "group_col": "region",
+        "predicate_col": "bmi",
+        "predicate_op": ">=",
+        "predicate_value": 34.77,
+        "top_k": 18,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "predicate_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=subgroup_distribution_shift",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=2/2",
+        "binding_index=103"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 9,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d8506dd2e8622312",
+      "problem_id": "v2p_m4_b943dda71778178f",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=sex, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "top_k": 13,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=108"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_2302bb43429633e3",
+      "problem_id": "v2p_m4_4867d0e933794c59",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=sex, measure_col=age.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "age",
+        "top_k": 18,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=108"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d3a561f4087e2bb7",
+      "problem_id": "v2p_m4_e1fbea202f67e49a",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=children, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "bmi",
+        "top_k": 14,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/2",
+        "binding_index=109"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_cdbcb2a0f9955159",
+      "problem_id": "v2p_m4_c96dd2273ecc4129",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=children, measure_col=bmi.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "bmi",
+        "top_k": 19,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=2/2",
+        "binding_index=109"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_7949b7d47adfdabb",
+      "problem_id": "v2p_m4_70d60fc1176ccc30",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoker, measure_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "top_k": 10,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=110"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_75abca8e7cce982d",
+      "problem_id": "v2p_m4_732b3592fd6ab836",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=smoker, measure_col=children.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "children",
+        "top_k": 15,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=110"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_402cf2b620aaf6be",
+      "problem_id": "v2p_m4_f0c7236e0dfd6e32",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=region, measure_col=age.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "age",
+        "top_k": 11,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/2",
+        "binding_index=111"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d220c33d4c20ca00",
+      "problem_id": "v2p_m4_fb68dea603b3d480",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=region, measure_col=age.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "age",
+        "top_k": 16,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=2/2",
+        "binding_index=111"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_7824c3e9fbf1eb30",
+      "problem_id": "v2p_m4_c6a034cbbadb3618",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=sex, measure_col=bmi.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "top_k": 12,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=112"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_855e03dfa6d0e0a7",
+      "problem_id": "v2p_m4_8b7e3535e3d24fcc",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=sex, measure_col=bmi.",
+      "bindings": {
+        "group_col": "sex",
+        "measure_col": "bmi",
+        "top_k": 17,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=112"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_c384e1d1c2a0d5b1",
+      "problem_id": "v2p_m4_91c862415bc22209",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=children, measure_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "children",
+        "top_k": 13,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/2",
+        "binding_index=113"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_9e2258fba1bb8780",
+      "problem_id": "v2p_m4_192938d0883cba79",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=children, measure_col=children.",
+      "bindings": {
+        "group_col": "children",
+        "measure_col": "children",
+        "top_k": 18,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 1.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=2/2",
+        "binding_index=113"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_0c26f30d504c3f6e",
+      "problem_id": "v2p_m4_e08acfad4c5bfe47",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoker, measure_col=age.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "top_k": 14,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/2",
+        "binding_index=114"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_2b4e4f6b570ea3c9",
+      "problem_id": "v2p_m4_2f0fa191c61269da",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=smoker, measure_col=age.",
+      "bindings": {
+        "group_col": "smoker",
+        "measure_col": "age",
+        "top_k": 19,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 47.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=2/2",
+        "binding_index=114"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_c9dff56b2575f776",
+      "problem_id": "v2p_m4_cbca9913ca4d2a63",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=region, measure_col=bmi.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "bmi",
+        "top_k": 10,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=1/2",
+        "binding_index=115"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e47bb30744ad1029",
+      "problem_id": "v2p_m4_943d8b12fc7bee11",
+      "dataset_id": "m4",
+      "template_id": "tpl_grouped_percentile_point",
+      "template_name": "Grouped Percentile Point",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_concentration_consistency",
+      "intended_facet_id": "rare_target_concentration",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=region, measure_col=bmi.",
+      "bindings": {
+        "group_col": "region",
+        "measure_col": "bmi",
+        "top_k": 15,
+        "top_n": 7,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 33.11,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+      "notes": [
+        "default_facets=rare_target_concentration",
+        "template_selection_mode=cli",
+        "problem_index_within_template=8",
+        "sql_variant_index=2/2",
+        "binding_index=115"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 10,
+      "problem_index_within_template": 8,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_e98a229e7941b936",
+      "problem_id": "v2p_m4_0362feb7ea16a8c4",
+      "dataset_id": "m4",
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "top_k": 10,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/1",
+        "binding_index=120"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 11,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_9cbb103291bcf907",
+      "problem_id": "v2p_m4_a0f09c6c171db6aa",
+      "dataset_id": "m4",
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.",
+      "bindings": {
+        "measure_col": "bmi",
+        "top_k": 11,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1",
+        "binding_index=121"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 11,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_00f7143d6bd8e184",
+      "problem_id": "v2p_m4_0377c8c216183a92",
+      "dataset_id": "m4",
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children.",
+      "bindings": {
+        "measure_col": "children",
+        "top_k": 12,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/1",
+        "binding_index=122"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 11,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_503dcfe732c0a741",
+      "problem_id": "v2p_m4_bb6e3a2d2c0bebb9",
+      "dataset_id": "m4",
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "top_k": 13,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1",
+        "binding_index=123"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 11,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_3080083919e95d31",
+      "problem_id": "v2p_m4_d18391a22aed35b7",
+      "dataset_id": "m4",
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.",
+      "bindings": {
+        "measure_col": "bmi",
+        "top_k": 14,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/1",
+        "binding_index=124"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 11,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_df26f485cb88a633",
+      "problem_id": "v2p_m4_4f728873c0dcdeba",
+      "dataset_id": "m4",
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children.",
+      "bindings": {
+        "measure_col": "children",
+        "top_k": 10,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/1",
+        "binding_index=125"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 11,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_8845959659e5c0e8",
+      "problem_id": "v2p_m4_56caab5c2577be7e",
+      "dataset_id": "m4",
+      "template_id": "tpl_threshold_rarity_cdf",
+      "template_name": "Threshold Rarity CDF",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "primary",
+      "extended_family": false,
+      "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.",
+      "bindings": {
+        "measure_col": "age",
+        "top_k": 11,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "measure_col"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/1",
+        "binding_index=126"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 11,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_6d209d27da8ed429",
+      "problem_id": "v2p_m4_42fc626d07f9e427",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=sex, group_col_2=children.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "top_k": 12,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/2",
+        "binding_index=132"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_9cb7f3b2552d84cd",
+      "problem_id": "v2p_m4_1ec4f2c99cedfcf4",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=sex, group_col_2=children.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "children",
+        "top_k": 17,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=1",
+        "sql_variant_index=2/2",
+        "binding_index=132"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_6dc3394804795858",
+      "problem_id": "v2p_m4_e0c76e0f2938de00",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_mass_similarity",
+      "intended_facet_id": "tail_ranked_signal",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=sex, group_col_2=smoker.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "smoker",
+        "top_k": 13,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=tail_ranked_signal",
+        "template_selection_mode=cli",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1",
+        "binding_index=133"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_2480659b3212d865",
+      "problem_id": "v2p_m4_bd9328833e65cf02",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=sex, group_col_2=region.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "top_k": 14,
+        "top_n": 5,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/2",
+        "binding_index=134"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_5843829451bf6f04",
+      "problem_id": "v2p_m4_2eee904104766839",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=sex, group_col_2=region.",
+      "bindings": {
+        "group_col": "sex",
+        "group_col_2": "region",
+        "top_k": 19,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=3",
+        "sql_variant_index=2/2",
+        "binding_index=134"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_c886bdb4bb3eb1f8",
+      "problem_id": "v2p_m4_062fd58dc2776f53",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_mass_similarity",
+      "intended_facet_id": "tail_ranked_signal",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=children, group_col_2=smoker.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "smoker",
+        "top_k": 10,
+        "top_n": 6,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 51.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=tail_ranked_signal",
+        "template_selection_mode=cli",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1",
+        "binding_index=135"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_848344994b8bc59d",
+      "problem_id": "v2p_m4_ab64e85d7b3e0beb",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "rare_extreme_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=children, group_col_2=region.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "region",
+        "top_k": 11,
+        "top_n": 3,
+        "num_tiles": 10,
+        "percentile_value": 0.95,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/2",
+        "binding_index=136"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_d247ec36a628d055",
+      "problem_id": "v2p_m4_b6446b7848d55043",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_set_consistency",
+      "intended_facet_id": "low_support_extremes",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=children, group_col_2=region.",
+      "bindings": {
+        "group_col": "children",
+        "group_col_2": "region",
+        "top_k": 16,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.05,
+        "baseline_multiplier": 1.75,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 4,
+        "measure_threshold": 34.77,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=low_support_extremes",
+        "template_selection_mode=cli",
+        "problem_index_within_template=5",
+        "sql_variant_index=2/2",
+        "binding_index=136"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 2,
+      "sql_variant_total": 2
+    },
+    {
+      "query_record_id": "v2q_m4_1a052ed6c67d22cc",
+      "problem_id": "v2p_m4_ad14151c649f03c6",
+      "dataset_id": "m4",
+      "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+      "template_name": "Pairwise Sparse Slice Count",
+      "family_id": "tail_rarity_structure",
+      "canonical_subitem_id": "tail_mass_similarity",
+      "intended_facet_id": "tail_ranked_signal",
+      "variant_semantic_role": "filtered_stable_view",
+      "subitem_assignment_source": "planner_selected",
+      "source_kind": "agent",
+      "realization_mode": "agent",
+      "gate_priority": "support",
+      "extended_family": false,
+      "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=smoker, group_col_2=region.",
+      "bindings": {
+        "group_col": "smoker",
+        "group_col_2": "region",
+        "top_k": 12,
+        "top_n": 4,
+        "num_tiles": 10,
+        "percentile_value": 0.9,
+        "z_threshold": 2.0,
+        "fraction_threshold": 0.1,
+        "baseline_multiplier": 1.5,
+        "baseline_fraction": 0.1,
+        "min_group_size": 5,
+        "min_support": 5,
+        "measure_threshold": 2.0,
+        "time_grain": "month",
+        "lookback_rows": 3,
+        "current_period_start": "'2024-01-01'",
+        "current_period_end": "'2024-04-01'",
+        "previous_period_start": "'2023-10-01'",
+        "previous_period_end": "'2024-01-01'",
+        "drift_ratio_threshold": 0.8
+      },
+      "binding_roles": [
+        "group_col",
+        "group_col_2"
+      ],
+      "coverage_target_min": "5",
+      "runtime_sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+      "notes": [
+        "default_facets=tail_ranked_signal",
+        "template_selection_mode=cli",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/1",
+        "binding_index=137"
+      ],
+      "template_selection_mode": "cli",
+      "selected_template_rank": 12,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_b445fb4bf2c2f97a",
+      "problem_id": "v2p_m4_534f5fb7a67dd3a0",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_distinct_share_profile",
+      "template_name": "Cardinality Distinct Share Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "support_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=sex.",
+      "bindings": {
+        "group_col": "sex"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_d432d087fbbe9702",
+      "problem_id": "v2p_m4_67039e10ae7f8169",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_distinct_share_profile",
+      "template_name": "Cardinality Distinct Share Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "value_imbalance_profile",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=children.",
+      "bindings": {
+        "group_col": "children"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_2b6fe1b4cccc5837",
+      "problem_id": "v2p_m4_1b8cf5fe2901c4e2",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_distinct_share_profile",
+      "template_name": "Cardinality Distinct Share Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "support_concentration",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=smoker.",
+      "bindings": {
+        "group_col": "smoker"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_3422b7dafce43ccf",
+      "problem_id": "v2p_m4_fb7b0be06ccbf6b2",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_distinct_share_profile",
+      "template_name": "Cardinality Distinct Share Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "value_imbalance_profile",
+      "variant_semantic_role": "ranked_signal_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=region.",
+      "bindings": {
+        "group_col": "region"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_1d318b1df0537907",
+      "problem_id": "v2p_m4_dac09e28d79ea14f",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_support_rank_profile",
+      "template_name": "Cardinality Support Rank Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "support_concentration",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=sex.",
+      "bindings": {
+        "group_col": "sex"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_2a63d732aa0025b3",
+      "problem_id": "v2p_m4_297c9ba20f13cef9",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_support_rank_profile",
+      "template_name": "Cardinality Support Rank Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "value_imbalance_profile",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=children.",
+      "bindings": {
+        "group_col": "children"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_db8173444d153955",
+      "problem_id": "v2p_m4_c00679228f01a188",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_support_rank_profile",
+      "template_name": "Cardinality Support Rank Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "support_concentration",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=smoker.",
+      "bindings": {
+        "group_col": "smoker"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_27199dfc029f4a21",
+      "problem_id": "v2p_m4_a41bb0ced785db4a",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_support_rank_profile",
+      "template_name": "Cardinality Support Rank Profile",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "support_rank_profile_consistency",
+      "intended_facet_id": "value_imbalance_profile",
+      "variant_semantic_role": "count_distribution",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=region.",
+      "bindings": {
+        "group_col": "region"
+      },
+      "binding_roles": [
+        "group_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+      "notes": [
+        "default_facets=support_concentration,value_imbalance_profile",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_c07dfc5e2c2017b8",
+      "problem_id": "v2p_m4_39afe1fbf5a93a7f",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "high_cardinality_response_stability",
+      "intended_facet_id": "target_cardinality_cross_section",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bmi, key_col=age.",
+      "bindings": {
+        "key_col": "age",
+        "measure_col": "bmi",
+        "min_support": 5
+      },
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "notes": [
+        "default_facets=target_cardinality_cross_section",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=1",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 1,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_08e5ec02e7ff369b",
+      "problem_id": "v2p_m4_0a6430c93a190077",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "high_cardinality_response_stability",
+      "intended_facet_id": "target_cardinality_cross_section",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=children, key_col=age.",
+      "bindings": {
+        "key_col": "age",
+        "measure_col": "children",
+        "min_support": 5
+      },
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "notes": [
+        "default_facets=target_cardinality_cross_section",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=2",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 2,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_87241b76085877ca",
+      "problem_id": "v2p_m4_b758f9d57f3d37e0",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "high_cardinality_response_stability",
+      "intended_facet_id": "target_cardinality_cross_section",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=bmi.",
+      "bindings": {
+        "key_col": "bmi",
+        "measure_col": "age",
+        "min_support": 5
+      },
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "notes": [
+        "default_facets=target_cardinality_cross_section",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=3",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 3,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_cd245e384efc2a5c",
+      "problem_id": "v2p_m4_b9de23b389bc6aff",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "high_cardinality_response_stability",
+      "intended_facet_id": "target_cardinality_cross_section",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=children, key_col=bmi.",
+      "bindings": {
+        "key_col": "bmi",
+        "measure_col": "children",
+        "min_support": 5
+      },
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "notes": [
+        "default_facets=target_cardinality_cross_section",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=4",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 4,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_1f730533602efff3",
+      "problem_id": "v2p_m4_6ece87a8b17d0766",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "high_cardinality_response_stability",
+      "intended_facet_id": "target_cardinality_cross_section",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=charges.",
+      "bindings": {
+        "key_col": "charges",
+        "measure_col": "age",
+        "min_support": 5
+      },
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "notes": [
+        "default_facets=target_cardinality_cross_section",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=5",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 5,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_b9ffc0f41015c019",
+      "problem_id": "v2p_m4_61c857649a517ff6",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "high_cardinality_response_stability",
+      "intended_facet_id": "target_cardinality_cross_section",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bmi, key_col=charges.",
+      "bindings": {
+        "key_col": "charges",
+        "measure_col": "bmi",
+        "min_support": 5
+      },
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "notes": [
+        "default_facets=target_cardinality_cross_section",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=6",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 6,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    },
+    {
+      "query_record_id": "v2q_m4_5b3b72d1608cc6b4",
+      "problem_id": "v2p_m4_d25ba59bfccb1034",
+      "dataset_id": "m4",
+      "template_id": "tpl_cardinality_high_card_response_stability",
+      "template_name": "High-Cardinality Response Stability",
+      "family_id": "cardinality_structure",
+      "canonical_subitem_id": "high_cardinality_response_stability",
+      "intended_facet_id": "target_cardinality_cross_section",
+      "variant_semantic_role": "focused_target_view",
+      "subitem_assignment_source": "template_fixed",
+      "source_kind": "deterministic",
+      "realization_mode": "deterministic",
+      "gate_priority": "deterministic",
+      "extended_family": true,
+      "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=children, key_col=charges.",
+      "bindings": {
+        "key_col": "charges",
+        "measure_col": "children",
+        "min_support": 5
+      },
+      "binding_roles": [
+        "key_col",
+        "target_col"
+      ],
+      "coverage_target_min": "enumerate_all_applicable",
+      "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+      "notes": [
+        "default_facets=target_cardinality_cross_section",
+        "template_selection_mode=deterministic",
+        "problem_index_within_template=7",
+        "sql_variant_index=1/1"
+      ],
+      "template_selection_mode": "deterministic",
+      "selected_template_rank": 0,
+      "problem_index_within_template": 7,
+      "sql_variant_index": 1,
+      "sql_variant_total": 1
+    }
+  ],
+  "deficits": [
+    {
+      "dataset_id": "m4",
+      "canonical_subitem_id": "tail_mass_similarity",
+      "reason": "planned_agent_sql_below_minimum",
+      "planned_agent_sql_count": 3,
+      "required_agent_sql_count": 5
+    }
+  ]
+}