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Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0048c971768c6102/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "2.21336383940064", "support": 1900, "support_share": 0.0893570991863801, "support_rank": 1}, {"value_label": "2.1689435423954", "support": 1570, "support_share": 0.07383718195927197, "support_rank": 2}, {"value_label": "2.49146187923103", "support": 927, "support_share": 0.043596858392512816, "support_rank": 3}, {"value_label": "2.35215804504935", "support": 859, "support_share": 0.040398814842684476, "support_rank": 4}, {"value_label": "2", "support": 603, "support_share": 0.028359121478624842, "support_rank": 5}]}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0048c971768c6102/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n5
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_n5_0048c971768c6102
+-- problem_id: v2p_n5_59e89144efb2e7a4
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "gmean_Valence" AS value_label, COUNT(*) AS support
+    FROM "n5"
+    GROUP BY "gmean_Valence"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0048c971768c6102/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n5\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n5_0048c971768c6102\n-- problem_id: v2p_n5_59e89144efb2e7a4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"gmean_Valence\" AS value_label, COUNT(*) AS support\n    FROM \"n5\"\n    GROUP BY \"gmean_Valence\"\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;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n5\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n5_0048c971768c6102\\n-- problem_id: v2p_n5_59e89144efb2e7a4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"gmean_Valence\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"n5\\\"\\n    GROUP BY \\\"gmean_Valence\\\"\\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;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"2.21336383940064\", \"support\": 1900, \"support_share\": 0.0893570991863801, \"support_rank\": 1}, {\"value_label\": \"2.1689435423954\", \"support\": 1570, \"support_share\": 0.07383718195927197, \"support_rank\": 2}, {\"value_label\": \"2.49146187923103\", \"support\": 927, \"support_share\": 0.043596858392512816, \"support_rank\": 3}, {\"value_label\": \"2.35215804504935\", \"support\": 859, \"support_share\": 0.040398814842684476, \"support_rank\": 4}, {\"value_label\": \"2\", \"support\": 603, \"support_share\": 0.028359121478624842, \"support_rank\": 5}, {\"value_label\": \"2.28942848510666\", \"support\": 565, \"support_share\": 0.02657197949489724, \"support_rank\": 6}, {\"value_label\": \"2.40187391035201\", \"support\": 481, \"support_share\": 0.022621455109815173, \"support_rank\": 7}, {\"value_label\": \"4.47213595499958\", \"support\": 477, \"support_share\": 0.02243333490100174, \"support_rank\": 8}, {\"value_label\": \"3.91486764116886\", \"support\": 444, \"support_share\": 0.020881343178290927, \"support_rank\": 9}, {\"value_label\": \"2.88449914061482\", \"support\": 406, \"support_share\": 0.019094201194563325, \"support_rank\": 10}, {\"value_label\": \"4.16016764610381\", \"support\": 402, \"support_share\": 0.018906080985749894, \"support_rank\": 11}, {\"value_label\": \"2.40224886796286\", \"support\": 387, \"support_share\": 0.018200630202699526, \"support_rank\": 12}, {\"value_label\": \"4.89897948556636\", \"support\": 383, \"support_share\": 0.018012509993886094, \"support_rank\": 13}, {\"value_label\": \"3.46410161513775\", \"support\": 375, \"support_share\": 0.01763626957625923, \"support_rank\": 14}, {\"value_label\": \"5.47722557505166\", \"support\": 353, \"support_share\": 0.016601608427785356, \"support_rank\": 15}, {\"value_label\": \"2.49288287167843\", \"support\": 327, \"support_share\": 0.015378827070498048, \"support_rank\": 16}, {\"value_label\": \"6\", \"support\": 319, \"support_share\": 0.015002586652871184, \"support_rank\": 17}, {\"value_label\": \"3.87298334620742\", \"support\": 315, \"support_share\": 0.014814466444057752, \"support_rank\": 18}, {\"value_label\": \"2.60517108469735\", \"support\": 284, \"support_share\": 0.013356534825753656, \"support_rank\": 19}, {\"value_label\": \"2.70192007704123\", \"support\": 271, \"support_share\": 0.012745144147110003, \"support_rank\": 20}, {\"value_label\": \"2.13982638786733\", \"support\": 263, \"support_share\": 0.01236890372948314, \"support_rank\": 21}, {\"value_label\": \"3\", \"support\": 252, \"support_share\": 0.011851573155246202, \"support_rank\": 22}, {\"value_label\": \"2.61532097202366\", \"support\": 250, \"support_share\": 0.011757513050839486, \"support_rank\": 23}, {\"value_label\": \"4.24264068711928\", \"support\": 243, \"support_share\": 0.01142830268541598, \"support_rank\": 24}, {\"value_label\": \"2.82842712474619\", \"support\": 226, \"support_share\": 0.010628791797958895, \"support_rank\": 25}, {\"value_label\": \"3.63424118566428\", \"support\": 215, \"support_share\": 0.010111461223721958, \"support_rank\": 26}, {\"value_label\": \"4.93242414866094\", \"support\": 211, \"support_share\": 0.009923341014908526, \"support_rank\": 27}, {\"value_label\": \"4\", \"support\": 189, \"support_share\": 0.008888679866434651, \"support_rank\": 28}, {\"value_label\": \"5\", \"support\": 182, \"support_share\": 0.008559469501011146, \"support_rank\": 29}, {\"value_label\": \"2.45950948584936\", \"support\": 180, \"support_share\": 0.00846540939660443, \"support_rank\": 30}, {\"value_label\": \"3.30975091964687\", \"support\": 176, \"support_share\": 0.008277289187790998, \"support_rank\": 31}, {\"value_label\": \"1.8881750225898\", \"support\": 172, \"support_share\": 0.008089168978977566, \"support_rank\": 32}, {\"value_label\": \"2.44948974278318\", \"support\": 172, \"support_share\": 0.008089168978977566, \"support_rank\": 33}, {\"value_label\": \"4.7622031559046\", \"support\": 170, \"support_share\": 0.00799510887457085, \"support_rank\": 34}, {\"value_label\": \"2.63214802590498\", \"support\": 167, \"support_share\": 0.007854018717960777, \"support_rank\": 35}, {\"value_label\": \"2.78315768371374\", \"support\": 161, \"support_share\": 0.007571838404740629, \"support_rank\": 36}, {\"value_label\": \"3.30192724889463\", \"support\": 161, \"support_share\": 0.007571838404740629, \"support_rank\": 37}, {\"value_label\": \"2.93015605158352\", \"support\": 154, \"support_share\": 0.007242628039317123, \"support_rank\": 38}, {\"value_label\": \"2.6207413942089\", \"support\": 151, \"support_share\": 0.00710153788270705, \"support_rank\": 39}, {\"value_label\": \"2.34034731932072\", \"support\": 147, \"support_share\": 0.006913417673893618, \"support_rank\": 40}, {\"value_label\": \"4.11953428781424\", \"support\": 147, \"support_share\": 0.006913417673893618, \"support_rank\": 41}, {\"value_label\": \"2.91295063024394\", \"support\": 139, \"support_share\": 0.006537177256266754, \"support_rank\": 42}, {\"value_label\": \"2.66709661118172\", \"support\": 138, \"support_share\": 0.006490147204063396, \"support_rank\": 43}, {\"value_label\": \"4.30886938006377\", \"support\": 136, \"support_share\": 0.00639608709965668, \"support_rank\": 44}, {\"value_label\": \"4.64158883361278\", \"support\": 129, \"support_share\": 0.006066876734233175, \"support_rank\": 45}, {\"value_label\": \"2.79816641433953\", \"support\": 124, \"support_share\": 0.005831726473216385, \"support_rank\": 46}, {\"value_label\": \"4.48140474655716\", \"support\": 117, \"support_share\": 0.0055025161077928795, \"support_rank\": 47}, {\"value_label\": \"2.11474252688113\", \"support\": 116, \"support_share\": 0.0054554860555895215, \"support_rank\": 48}, {\"value_label\": \"2.33986162551737\", \"support\": 109, \"support_share\": 0.005126275690166016, \"support_rank\": 49}, {\"value_label\": \"4.57885697021333\", \"support\": 108, \"support_share\": 0.005079245637962658, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.29}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0048c971768c6102/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n5",
+  "started_at": "2026-05-19T16:15:36.769315+00:00",
+  "ended_at": "2026-05-19T16:15:36.785521+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n5_0048c971768c6102",
+    "problem_id": "v2p_n5_59e89144efb2e7a4",
+    "dataset_id": "n5",
+    "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=gmean_Valence.",
+    "bindings": {
+      "group_col": "gmean_Valence"
+    },
+    "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
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0048c971768c6102.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0048c971768c6102/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=range_atomic_radius, group_col_2=gmean_Valence.
+Result preview: [{"range_atomic_radius": 205.0, "gmean_Valence": 2.1689435423954, "row_count": 1089}, {"range_atomic_radius": 205.0, "gmean_Valence": 2.21336383940064, "row_count": 793}, {"range_atomic_radius": 171.0, "gmean_Valence": 2.40224886796286, "row_count": 339}, {"range_atomic_radius": 205.0, "gmean_Valence": 2.0, "row_count": 329}, {"range_atomic_radius": 205.0, "gmean_Valence": 2.13982638786733, "row_count": 247}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n5
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_n5_0179f87b88b6b25f
+-- problem_id: v2p_n5_0e33862fa5599e89
+-- realization_mode: agent
+-- source_kind: agent
+SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", CAST("gmean_Valence" AS REAL) AS "gmean_Valence", COUNT(*) AS "row_count"
+FROM "n5"
+WHERE CAST("std_ElectronAffinity" AS REAL) >= 54.830755
+GROUP BY CAST("range_atomic_radius" AS REAL), CAST("gmean_Valence" AS REAL)
+ORDER BY "row_count" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT CAST(\"range_atomic_radius\" AS REAL) AS \"range_atomic_radius\", CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\", COUNT(*) AS \"row_count\"\nFROM \"n5\"\nWHERE CAST(\"std_ElectronAffinity\" AS REAL) >= 54.830755\nGROUP BY CAST(\"range_atomic_radius\" AS REAL), CAST(\"gmean_Valence\" AS REAL)\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\", CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"std_ElectronAffinity\\\" AS REAL) >= 54.830755\\nGROUP BY CAST(\\\"range_atomic_radius\\\" AS REAL), CAST(\\\"gmean_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"range_atomic_radius\", \"gmean_Valence\", \"row_count\"], \"rows\": [{\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.1689435423954, \"row_count\": 1089}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.21336383940064, \"row_count\": 793}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.40224886796286, \"row_count\": 339}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.0, \"row_count\": 329}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.13982638786733, \"row_count\": 247}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.1689435423954, \"row_count\": 198}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.49288287167843, \"row_count\": 141}, {\"range_atomic_radius\": 53.0, \"gmean_Valence\": 4.7622031559046, \"row_count\": 92}, {\"range_atomic_radius\": 78.0, \"gmean_Valence\": 2.88449914061482, \"row_count\": 83}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.49146187923103, \"row_count\": 79}, {\"range_atomic_radius\": 153.0, \"gmean_Valence\": 2.45950948584936, \"row_count\": 74}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.49146187923103, \"row_count\": 69}, {\"range_atomic_radius\": 33.0, \"gmean_Valence\": 4.11953428781424, \"row_count\": 59}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.40187391035201, \"row_count\": 55}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.29739670999407, \"row_count\": 52}, {\"range_atomic_radius\": 196.0, \"gmean_Valence\": 2.45950948584936, \"row_count\": 48}, {\"range_atomic_radius\": 147.0, \"gmean_Valence\": 2.21336383940064, \"row_count\": 47}, {\"range_atomic_radius\": 33.0, \"gmean_Valence\": 4.16016764610381, \"row_count\": 46}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.41565251562535, \"row_count\": 46}, {\"range_atomic_radius\": 211.0, \"gmean_Valence\": 1.74110112659225, \"row_count\": 42}, {\"range_atomic_radius\": 146.0, \"gmean_Valence\": 2.09127910518255, \"row_count\": 37}, {\"range_atomic_radius\": 196.0, \"gmean_Valence\": 2.85363852822755, \"row_count\": 37}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.40187391035201, \"row_count\": 37}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.0, \"row_count\": 35}, {\"range_atomic_radius\": 53.0, \"gmean_Valence\": 4.24264068711928, \"row_count\": 34}, {\"range_atomic_radius\": 83.0, \"gmean_Valence\": 2.88449914061482, \"row_count\": 33}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.32998610150143, \"row_count\": 31}, {\"range_atomic_radius\": 150.0, \"gmean_Valence\": 2.78315768371374, \"row_count\": 30}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.24492409661875, \"row_count\": 30}, {\"range_atomic_radius\": 82.0, \"gmean_Valence\": 2.51984209978975, \"row_count\": 29}, {\"range_atomic_radius\": 128.0, \"gmean_Valence\": 2.0, \"row_count\": 29}, {\"range_atomic_radius\": 153.0, \"gmean_Valence\": 2.82523450049477, \"row_count\": 29}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.88449914061482, \"row_count\": 29}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.1192680453341, \"row_count\": 29}, {\"range_atomic_radius\": 80.0, \"gmean_Valence\": 3.66284150148471, \"row_count\": 28}, {\"range_atomic_radius\": 140.0, \"gmean_Valence\": 2.6207413942089, \"row_count\": 28}, {\"range_atomic_radius\": 164.0, \"gmean_Valence\": 2.82523450049477, \"row_count\": 25}, {\"range_atomic_radius\": 164.0, \"gmean_Valence\": 2.99379516552391, \"row_count\": 25}, {\"range_atomic_radius\": 103.0, \"gmean_Valence\": 5.24148278841779, \"row_count\": 23}, {\"range_atomic_radius\": 211.0, \"gmean_Valence\": 1.8881750225898, \"row_count\": 23}, {\"range_atomic_radius\": 142.0, \"gmean_Valence\": 3.91486764116886, \"row_count\": 22}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.32998610150143, \"row_count\": 22}, {\"range_atomic_radius\": 171.0, \"gmean_Valence\": 2.87098773937074, \"row_count\": 22}, {\"range_atomic_radius\": 46.0, \"gmean_Valence\": 4.89897948556636, \"row_count\": 21}, {\"range_atomic_radius\": 73.0, \"gmean_Valence\": 3.63424118566428, \"row_count\": 21}, {\"range_atomic_radius\": 33.0, \"gmean_Valence\": 4.24264068711928, \"row_count\": 20}, {\"range_atomic_radius\": 106.0, \"gmean_Valence\": 3.83365862547764, \"row_count\": 20}, {\"range_atomic_radius\": 153.0, \"gmean_Valence\": 2.76822945651829, \"row_count\": 20}, {\"range_atomic_radius\": 205.0, \"gmean_Valence\": 2.46438185834731, \"row_count\": 20}, {\"range_atomic_radius\": 24.0, \"gmean_Valence\": 5.0, \"row_count\": 19}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 40.72}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n5",
+  "started_at": "2026-05-19T15:48:23.998553+00:00",
+  "ended_at": "2026-05-19T15:48:40.720023+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n5_0179f87b88b6b25f",
+    "problem_id": "v2p_n5_0e33862fa5599e89",
+    "dataset_id": "n5",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "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 Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=range_atomic_radius, group_col_2=gmean_Valence.",
+    "bindings": {
+      "group_col": "range_atomic_radius",
+      "group_col_2": "gmean_Valence",
+      "predicate_col": "std_ElectronAffinity",
+      "predicate_op": ">=",
+      "predicate_value": 54.830755,
+      "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": 54.830755,
+      "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",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/1",
+      "binding_index=49"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0179f87b88b6b25f.sql",
+  "usage_summary": {
+    "dataset_id": "n5",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n5_0179f87b88b6b25f",
+    "api_calls": 0,
+    "input_tokens": 25675,
+    "cached_input_tokens": 24960,
+    "output_tokens": 669,
+    "total_tokens": 26344,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 16666.53,
+    "sql_execution_elapsed_ms_total": 40.72,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:48:40.676703+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16666.53, "started_at": "2026-05-19T15:48:24.008626+00:00", "ended_at": "2026-05-19T15:48:40.675186+00:00", "prompt_metrics": {"chars": 45161, "bytes_utf8": 45161, "lines": 1084, "estimated_tokens": null}, "response_metrics": {"chars": 573, "bytes_utf8": 573, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25675, "cached_input_tokens": 24960, "output_tokens": 669, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\", CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"std_ElectronAffinity\\\" AS REAL) >= 54.830755\\nGROUP BY CAST(\\\"range_atomic_radius\\\" AS REAL), CAST(\\\"gmean_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with the bound columns. Applied REAL casts because the SQLite schema stores these numeric fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n5",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n5_0179f87b88b6b25f",
+  "api_calls": 0,
+  "input_tokens": 25675,
+  "cached_input_tokens": 24960,
+  "output_tokens": 669,
+  "total_tokens": 26344,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 16666.53,
+  "sql_execution_elapsed_ms_total": 40.72,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0179f87b88b6b25f/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_034c57d878932cef/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n5",
+  "started_at": "2026-05-19T16:13:37.747457+00:00",
+  "ended_at": "2026-05-19T16:13:44.996460+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n5_034c57d878932cef",
+    "problem_id": "v2p_n5_6b27fabaf1cfe99f",
+    "dataset_id": "n5",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "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 Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=number_of_elements, measure_col=wtd_mean_FusionHeat.",
+    "bindings": {
+      "group_col": "number_of_elements",
+      "measure_col": "wtd_mean_FusionHeat",
+      "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": 4.959538,
+      "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/2",
+      "binding_index=133"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_034c57d878932cef/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:13:41.059208+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3298.09, "started_at": "2026-05-19T16:13:37.760163+00:00", "ended_at": "2026-05-19T16:13:41.058280+00:00", "prompt_metrics": {"chars": 44924, "bytes_utf8": 44924, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-a372-7b82-befe-5551867ef8b7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:13:44.996371+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2933.56, "started_at": "2026-05-19T16:13:42.061884+00:00", "ended_at": "2026-05-19T16:13:44.995492+00:00", "prompt_metrics": {"chars": 44924, "bytes_utf8": 44924, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-b42b-7331-bc73-6c3ab1cce89d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=range_Valence, measure_col=wtd_range_atomic_mass.
+Result preview: [{"range_Valence": "0", "percentile_measure": 135.8914153}, {"range_Valence": "2", "percentile_measure": 83.4529355}, {"range_Valence": "1", "percentile_measure": 81.91853377142857}, {"range_Valence": "3", "percentile_measure": 77.7773252941176}, {"range_Valence": "4", "percentile_measure": 72.3395055227273}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/generated_sql.sql

@@ -0,0 +1,64 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n5
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_n5_040d997a9cac4d1d
+-- problem_id: v2p_n5_da36b82a5fbd27dd
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "range_Valence" AS "group_col",
+    CAST("wtd_range_atomic_mass" AS REAL) AS "measure_col"
+  FROM "n5"
+  WHERE "range_Valence" IS NOT NULL
+    AND "wtd_range_atomic_mass" IS NOT NULL
+),
+"ranked" AS (
+  SELECT
+    "group_col",
+    "measure_col",
+    ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn",
+    COUNT(*) OVER (PARTITION BY "group_col") AS "cnt"
+  FROM "base"
+),
+"pos" AS (
+  SELECT DISTINCT
+    "group_col",
+    "cnt",
+    (0.95 * ("cnt" - 1) + 1.0) AS "p",
+    CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER) AS "lo",
+    CASE
+      WHEN (0.95 * ("cnt" - 1) + 1.0) = CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER)
+        THEN CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER)
+      ELSE CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER) + 1
+    END AS "hi"
+  FROM "ranked"
+),
+"picked" AS (
+  SELECT
+    p."group_col",
+    p."cnt",
+    p."p",
+    MAX(CASE WHEN r."rn" = p."lo" THEN r."measure_col" END) AS "lo_val",
+    MAX(CASE WHEN r."rn" = p."hi" THEN r."measure_col" END) AS "hi_val"
+  FROM "pos" AS p
+  JOIN "ranked" AS r
+    ON r."group_col" = p."group_col"
+  GROUP BY p."group_col", p."cnt", p."p"
+)
+SELECT
+  "group_col" AS "range_Valence",
+  CASE
+    WHEN "lo_val" IS NULL THEN NULL
+    WHEN "hi_val" IS NULL OR "lo_val" = "hi_val" OR "p" = CAST("p" AS INTEGER) THEN "lo_val"
+    ELSE "lo_val" + (("p" - CAST("p" AS INTEGER)) * ("hi_val" - "lo_val"))
+  END AS "percentile_measure"
+FROM "picked"
+WHERE "cnt" >= 5
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"range_Valence\" AS \"group_col\",\n    CAST(\"wtd_range_atomic_mass\" AS REAL) AS \"measure_col\"\n  FROM \"n5\"\n  WHERE \"range_Valence\" IS NOT NULL\n    AND \"wtd_range_atomic_mass\" IS NOT NULL\n),\n\"ranked\" AS (\n  SELECT\n    \"group_col\",\n    \"measure_col\",\n    ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure_col\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"group_col\") AS \"cnt\"\n  FROM \"base\"\n),\n\"pos\" AS (\n  SELECT DISTINCT\n    \"group_col\",\n    \"cnt\",\n    (0.95 * (\"cnt\" - 1) + 1.0) AS \"p\",\n    CAST((0.95 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"lo\",\n    CASE\n      WHEN (0.95 * (\"cnt\" - 1) + 1.0) = CAST((0.95 * (\"cnt\" - 1) + 1.0) AS INTEGER)\n        THEN CAST((0.95 * (\"cnt\" - 1) + 1.0) AS INTEGER)\n      ELSE CAST((0.95 * (\"cnt\" - 1) + 1.0) AS INTEGER) + 1\n    END AS \"hi\"\n  FROM \"ranked\"\n),\n\"picked\" AS (\n  SELECT\n    p.\"group_col\",\n    p.\"cnt\",\n    p.\"p\",\n    MAX(CASE WHEN r.\"rn\" = p.\"lo\" THEN r.\"measure_col\" END) AS \"lo_val\",\n    MAX(CASE WHEN r.\"rn\" = p.\"hi\" THEN r.\"measure_col\" END) AS \"hi_val\"\n  FROM \"pos\" AS p\n  JOIN \"ranked\" AS r\n    ON r.\"group_col\" = p.\"group_col\"\n  GROUP BY p.\"group_col\", p.\"cnt\", p.\"p\"\n)\nSELECT\n  \"group_col\" AS \"range_Valence\",\n  CASE\n    WHEN \"lo_val\" IS NULL THEN NULL\n    WHEN \"hi_val\" IS NULL OR \"lo_val\" = \"hi_val\" OR \"p\" = CAST(\"p\" AS INTEGER) THEN \"lo_val\"\n    ELSE \"lo_val\" + ((\"p\" - CAST(\"p\" AS INTEGER)) * (\"hi_val\" - \"lo_val\"))\n  END AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"range_Valence\\\" AS \\\"group_col\\\",\\n    CAST(\\\"wtd_range_atomic_mass\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"n5\\\"\\n  WHERE \\\"range_Valence\\\" IS NOT NULL\\n    AND \\\"wtd_range_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure_col\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"pos\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (0.95 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"p\\\",\\n    CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lo\\\",\\n    CASE\\n      WHEN (0.95 * (\\\"cnt\\\" - 1) + 1.0) = CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n        THEN CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n      ELSE CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + 1\\n    END AS \\\"hi\\\"\\n  FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    p.\\\"group_col\\\",\\n    p.\\\"cnt\\\",\\n    p.\\\"p\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lo\\\" THEN r.\\\"measure_col\\\" END) AS \\\"lo_val\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"hi\\\" THEN r.\\\"measure_col\\\" END) AS \\\"hi_val\\\"\\n  FROM \\\"pos\\\" AS p\\n  JOIN \\\"ranked\\\" AS r\\n    ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\n  GROUP BY p.\\\"group_col\\\", p.\\\"cnt\\\", p.\\\"p\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"range_Valence\\\",\\n  CASE\\n    WHEN \\\"lo_val\\\" IS NULL THEN NULL\\n    WHEN \\\"hi_val\\\" IS NULL OR \\\"lo_val\\\" = \\\"hi_val\\\" OR \\\"p\\\" = CAST(\\\"p\\\" AS INTEGER) THEN \\\"lo_val\\\"\\n    ELSE \\\"lo_val\\\" + ((\\\"p\\\" - CAST(\\\"p\\\" AS INTEGER)) * (\\\"hi_val\\\" - \\\"lo_val\\\"))\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"range_Valence\", \"percentile_measure\"], \"rows\": [{\"range_Valence\": \"0\", \"percentile_measure\": 135.8914153}, {\"range_Valence\": \"2\", \"percentile_measure\": 83.4529355}, {\"range_Valence\": \"1\", \"percentile_measure\": 81.91853377142857}, {\"range_Valence\": \"3\", \"percentile_measure\": 77.7773252941176}, {\"range_Valence\": \"4\", \"percentile_measure\": 72.3395055227273}, {\"range_Valence\": \"5\", \"percentile_measure\": 58.91813906887365}, {\"range_Valence\": \"6\", \"percentile_measure\": 42.42503302325582}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 90.16}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n5",
+  "started_at": "2026-05-19T16:04:27.176901+00:00",
+  "ended_at": "2026-05-19T16:04:50.512350+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n5_040d997a9cac4d1d",
+    "problem_id": "v2p_n5_da36b82a5fbd27dd",
+    "dataset_id": "n5",
+    "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=range_Valence, measure_col=wtd_range_atomic_mass.",
+    "bindings": {
+      "group_col": "range_Valence",
+      "measure_col": "wtd_range_atomic_mass",
+      "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": 34.686827,
+      "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=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=89"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_040d997a9cac4d1d.sql",
+  "usage_summary": {
+    "dataset_id": "n5",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n5_040d997a9cac4d1d",
+    "api_calls": 0,
+    "input_tokens": 25617,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1193,
+    "total_tokens": 26810,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 23231.38,
+    "sql_execution_elapsed_ms_total": 90.16,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:04:50.420510+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23231.38, "started_at": "2026-05-19T16:04:27.188194+00:00", "ended_at": "2026-05-19T16:04:50.419594+00:00", "prompt_metrics": {"chars": 45019, "bytes_utf8": 45019, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1974, "bytes_utf8": 1976, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25617, "cached_input_tokens": 12032, "output_tokens": 1193, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"range_Valence\\\" AS \\\"group_col\\\",\\n    CAST(\\\"wtd_range_atomic_mass\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"n5\\\"\\n  WHERE \\\"range_Valence\\\" IS NOT NULL\\n    AND \\\"wtd_range_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure_col\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"pos\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (0.95 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"p\\\",\\n    CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lo\\\",\\n    CASE\\n      WHEN (0.95 * (\\\"cnt\\\" - 1) + 1.0) = CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n        THEN CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n      ELSE CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + 1\\n    END AS \\\"hi\\\"\\n  FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    p."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n5",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n5_040d997a9cac4d1d",
+  "api_calls": 0,
+  "input_tokens": 25617,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1193,
+  "total_tokens": 26810,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 23231.38,
+  "sql_execution_elapsed_ms_total": 90.16,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_040d997a9cac4d1d/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 45270, "bytes_utf8": 45270, "lines": 1082, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 951, "bytes_utf8": 951, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25701, "cached_input_tokens": 24960, "output_tokens": 2281, "reasoning_output_tokens": 2020}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n5",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n5_044386a1204bf95b",
+    "api_calls": 0,
+    "input_tokens": 25701,
+    "cached_input_tokens": 24960,
+    "output_tokens": 2281,
+    "total_tokens": 27982,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 36972.48,
+    "sql_execution_elapsed_ms_total": 76.77,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:37:25.138037+00:00",
+  "ended_at": "2026-05-19T15:38:02.110546+00:00",
+  "elapsed_ms": 36972.48,
+  "prompt_metrics": {
+    "chars": 45270,
+    "bytes_utf8": 45270,
+    "lines": 1082,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1352,
+    "bytes_utf8": 1352,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 951,
+      "bytes_utf8": 951,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 25701,
+      "cached_input_tokens": 24960,
+      "output_tokens": 2281,
+      "reasoning_output_tokens": 2020
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,1082 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n5
+- dataset_name: N5
+- table_name: n5
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 81 feature columns and target `wtd_entropy_Valence`.
+- task_type: regression
+- target_column: wtd_entropy_Valence
+- main_row_count: 21263
+- important_fields:
+- number_of_elements: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for number of elements.
+- mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic mass.
+- wtd_mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic mass.
+- gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic mass.
+- wtd_gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic mass.
+- entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic mass.
+- wtd_entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic mass.
+- range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range atomic mass.
+- wtd_range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic mass.
+- std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic mass.
+- wtd_std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic mass.
+- mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean fie.
+- wtd_mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean fie.
+- gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean fie.
+- wtd_gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean fie.
+- entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy fie.
+- wtd_entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy fie.
+- range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range fie.
+- wtd_range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range fie.
+- std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std fie.
+- wtd_std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std fie.
+- mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic radius.
+- wtd_mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic radius.
+- gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic radius.
+- wtd_gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic radius.
+- entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic radius.
+- wtd_entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic radius.
+- range_atomic_radius: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range atomic radius.
+- wtd_range_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic radius.
+- std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic radius.
+- wtd_std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic radius.
+- mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean Density.
+- wtd_mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Density.
+- gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Density.
+- wtd_gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Density.
+- entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Density.
+- wtd_entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy Density.
+- range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range Density.
+- wtd_range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Density.
+- std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std Density.
+- wtd_std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Density.
+- mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ElectronAffinity.
+- wtd_mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ElectronAffinity.
+- gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ElectronAffinity.
+- wtd_gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ElectronAffinity.
+- entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ElectronAffinity.
+- wtd_entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ElectronAffinity.
+- range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ElectronAffinity.
+- wtd_range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ElectronAffinity.
+- std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ElectronAffinity.
+- wtd_std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ElectronAffinity.
+- mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean FusionHeat.
+- wtd_mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean FusionHeat.
+- gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean FusionHeat.
+- wtd_gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean FusionHeat.
+- entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy FusionHeat.
+- wtd_entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy FusionHeat.
+- range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range FusionHeat.
+- wtd_range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range FusionHeat.
+- std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std FusionHeat.
+- wtd_std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std FusionHeat.
+- mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ThermalConductivity.
+- wtd_mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ThermalConductivity.
+- gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ThermalConductivity.
+- wtd_gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ThermalConductivity.
+- entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ThermalConductivity.
+- wtd_entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ThermalConductivity.
+- range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ThermalConductivity.
+- wtd_range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ThermalConductivity.
+- std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ThermalConductivity.
+- wtd_std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ThermalConductivity.
+- mean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for mean Valence.
+- wtd_mean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Valence.
+- gmean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Valence.
+- wtd_gmean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Valence.
+- entropy_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Valence.
+- wtd_entropy_Valence: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for wtd entropy Valence.
+- range_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range Valence.
+- wtd_range_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Valence.
+- std_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for std Valence.
+- wtd_std_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Valence.
+- critical_temp: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for critical temp.
+- useful_field_combinations: [['number_of_elements', 'range_atomic_radius', 'wtd_entropy_Valence'], ['number_of_elements', 'number_of_elements', 'wtd_entropy_Valence'], ['number_of_elements', 'mean_atomic_mass', 'wtd_entropy_Valence']]
+- fields_requiring_caution: ['wtd_entropy_Valence', 'mean_atomic_mass', 'wtd_mean_atomic_mass', 'gmean_atomic_mass']
+- source_url: https://www.openml.org/d/44964
+
+SQLite schema snapshot:
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+      "wtd_std_FusionHeat": "4.60300005985449",
+      "mean_ThermalConductivity": "172.205316",
+      "wtd_mean_ThermalConductivity": "61.3723314285714",
+      "gmean_ThermalConductivity": "16.0642278788044",
+      "wtd_gmean_ThermalConductivity": "0.619734632330547",
+      "entropy_ThermalConductivity": "0.847404163195705",
+      "wtd_entropy_ThermalConductivity": "0.567706107876637",
+      "range_ThermalConductivity": "429.97342",
+      "wtd_range_ThermalConductivity": "51.4133828571429",
+      "std_ThermalConductivity": "198.554600255545",
+      "wtd_std_ThermalConductivity": "139.630922368904",
+      "mean_Valence": "2",
+      "wtd_mean_Valence": "2.25714285714286",
+      "gmean_Valence": "1.8881750225898",
+      "wtd_gmean_Valence": "2.21067940870655",
+      "entropy_Valence": "1.55711309805765",
+      "wtd_entropy_Valence": "1.04722136819323",
+      "range_Valence": "2",
+      "wtd_range_Valence": "1.12857142857143",
+      "std_Valence": "0.632455532033676",
+      "wtd_std_Valence": "0.468606270481621",
+      "critical_temp": "26"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8852418571429",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1225090359592",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "0.975980464165498",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "35.741099",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.6562677320982",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1010.82",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "939.009035665864",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.773620193146673",
+      "range_fie": "810.6",
+      "wtd_range_fie": "743.164285714286",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "354.804182855034",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "104.685714285714",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.214573243296",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.13254686280436",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "49.3142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "67.797712320685",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2999.15942857143",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.9740223651659",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.760305152674073",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1667.38342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3592.01928133231",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "112.213571428571",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "101.082152388012",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.786006736025012",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "81.2078571428572",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "41.6398777971212",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.82257142857143",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.03743942474191",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "0.927479442031317",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.75714285714286",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.64963546519334",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "60.94376",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.619094682704274",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.250477444193951",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.54061273835",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.27142857142857",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.23267852196607",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.02917468729772",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.11428571428571",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.444696640464954",
+      "critical_temp": "19"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8739670714286",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1195603503211",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "1.0222908923957",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "33.7680099285714",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.63940496787",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1010.54428571429",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "938.512776724546",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.783206660361291",
+      "range_fie": "810.6",
+      "wtd_range_fie": "739.575",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "355.183884421944",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "105.1",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.371352045645",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.17303291789271",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "46.1142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "68.5216649785203",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2980.33085714286",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.7584862910218",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.788888532221461",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1623.48342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3582.37059664405",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.970357142857",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "100.24495020209",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.786900489374915",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "81.0975",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "42.1023442240235",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.83471428571429",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.03921119227177",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "0.96403104867923",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.6583013524026",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "60.9794742857143",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.620535408483887",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.257045108326848",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.528892724768",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.26428571428571",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.2262216392083",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.04883427304761",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.1",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.440952123830019",
+      "critical_temp": "22"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8401427142857",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1107157375382",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "1.12922373013507",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "27.8487427142857",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.5887706050743",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1009.71714285714",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "937.025572960086",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.805229640813357",
+      "range_fie": "810.6",
+      "wtd_range_fie": "728.807142857143",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "356.31928137213",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "106.342857142857",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.8434418389765",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.26119371912948",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "36.5142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "70.6344484378724",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2923.84514285714",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.1170285737926",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.859810869291435",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1491.78342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3552.66866358032",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.240714285714",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "97.7747186271033",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.787396182520174",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "80.7664285714286",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "43.4520592088545",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.87114285714286",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.04454467078021",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "1.04496953590973",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.68401395107631",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "61.0866171428571",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.624877733754845",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.272819938850094",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.493671473918",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.24285714285714",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.20696281450132",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.09605191790054",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.05714285714286",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.428809457708675",
+      "critical_temp": "23"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n5",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=range_Valence, measure_col=wtd_entropy_atomic_radius.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "range_Valence",
+    "measure_col": "wtd_entropy_atomic_radius",
+    "item_col": "wtd_range_atomic_radius",
+    "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": 1.381366,
+    "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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-7ca4-7920-ace8-589111b2bf0c"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"range_Valence\\\",\\n  \\\"wtd_range_atomic_radius\\\",\\n  SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL)) AS total_measure,\\n  SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL)) * 100.0\\n    / SUM(SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL))) OVER (PARTITION BY \\\"range_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE NULLIF(\\\"range_Valence\\\", '') IS NOT NULL\\n  AND NULLIF(\\\"wtd_range_atomic_radius\\\", '') IS NOT NULL\\n  AND NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') IS NOT NULL\\nGROUP BY \\\"range_Valence\\\", \\\"wtd_range_atomic_radius\\\"\\nORDER BY share_within_group DESC\\nLIMIT 11;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"range_Valence\\\", item_col=\\\"wtd_range_atomic_radius\\\", and measure_col=\\\"wtd_entropy_atomic_radius\\\". The measure is cast from TEXT to REAL for aggregation, and blank values are filtered out.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":25701,"cached_input_tokens":24960,"output_tokens":2281,"reasoning_output_tokens":2020}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"range_Valence\",\n  \"wtd_range_atomic_radius\",\n  SUM(CAST(NULLIF(\"wtd_entropy_atomic_radius\", '') AS REAL)) AS total_measure,\n  SUM(CAST(NULLIF(\"wtd_entropy_atomic_radius\", '') AS REAL)) * 100.0\n    / SUM(SUM(CAST(NULLIF(\"wtd_entropy_atomic_radius\", '') AS REAL))) OVER (PARTITION BY \"range_Valence\") AS share_within_group\nFROM \"n5\"\nWHERE NULLIF(\"range_Valence\", '') IS NOT NULL\n  AND NULLIF(\"wtd_range_atomic_radius\", '') IS NOT NULL\n  AND NULLIF(\"wtd_entropy_atomic_radius\", '') IS NOT NULL\nGROUP BY \"range_Valence\", \"wtd_range_atomic_radius\"\nORDER BY share_within_group DESC\nLIMIT 11;","notes":"Uses the planned within-group share template with group_col=\"range_Valence\", item_col=\"wtd_range_atomic_radius\", and measure_col=\"wtd_entropy_atomic_radius\". The measure is cast from TEXT to REAL for aggregation, and blank values are filtered out."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 45266, "bytes_utf8": 45266, "lines": 1082, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1008, "bytes_utf8": 1008, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25703, "cached_input_tokens": 24960, "output_tokens": 1321, "reasoning_output_tokens": 1034}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n5",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n5_04570f29ef78ff0c",
+    "api_calls": 0,
+    "input_tokens": 25703,
+    "cached_input_tokens": 24960,
+    "output_tokens": 1321,
+    "total_tokens": 27024,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 22988.17,
+    "sql_execution_elapsed_ms_total": 92.69,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:24.403235+00:00",
+  "ended_at": "2026-05-19T15:36:47.391432+00:00",
+  "elapsed_ms": 22988.17,
+  "prompt_metrics": {
+    "chars": 45266,
+    "bytes_utf8": 45266,
+    "lines": 1082,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1427,
+    "bytes_utf8": 1427,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1008,
+      "bytes_utf8": 1008,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 25703,
+      "cached_input_tokens": 24960,
+      "output_tokens": 1321,
+      "reasoning_output_tokens": 1034
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,1082 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n5
+- dataset_name: N5
+- table_name: n5
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 81 feature columns and target `wtd_entropy_Valence`.
+- task_type: regression
+- target_column: wtd_entropy_Valence
+- main_row_count: 21263
+- important_fields:
+- number_of_elements: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for number of elements.
+- mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic mass.
+- wtd_mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic mass.
+- gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic mass.
+- wtd_gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic mass.
+- entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic mass.
+- wtd_entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic mass.
+- range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range atomic mass.
+- wtd_range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic mass.
+- std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic mass.
+- wtd_std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic mass.
+- mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean fie.
+- wtd_mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean fie.
+- gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean fie.
+- wtd_gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean fie.
+- entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy fie.
+- wtd_entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy fie.
+- range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range fie.
+- wtd_range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range fie.
+- std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std fie.
+- wtd_std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std fie.
+- mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic radius.
+- wtd_mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic radius.
+- gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic radius.
+- wtd_gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic radius.
+- entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic radius.
+- wtd_entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic radius.
+- range_atomic_radius: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range atomic radius.
+- wtd_range_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic radius.
+- std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic radius.
+- wtd_std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic radius.
+- mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean Density.
+- wtd_mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Density.
+- gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Density.
+- wtd_gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Density.
+- entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Density.
+- wtd_entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy Density.
+- range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range Density.
+- wtd_range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Density.
+- std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std Density.
+- wtd_std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Density.
+- mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ElectronAffinity.
+- wtd_mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ElectronAffinity.
+- gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ElectronAffinity.
+- wtd_gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ElectronAffinity.
+- entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ElectronAffinity.
+- wtd_entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ElectronAffinity.
+- range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ElectronAffinity.
+- wtd_range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ElectronAffinity.
+- std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ElectronAffinity.
+- wtd_std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ElectronAffinity.
+- mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean FusionHeat.
+- wtd_mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean FusionHeat.
+- gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean FusionHeat.
+- wtd_gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean FusionHeat.
+- entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy FusionHeat.
+- wtd_entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy FusionHeat.
+- range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range FusionHeat.
+- wtd_range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range FusionHeat.
+- std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std FusionHeat.
+- wtd_std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std FusionHeat.
+- mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ThermalConductivity.
+- wtd_mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ThermalConductivity.
+- gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ThermalConductivity.
+- wtd_gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ThermalConductivity.
+- entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ThermalConductivity.
+- wtd_entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ThermalConductivity.
+- range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ThermalConductivity.
+- wtd_range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ThermalConductivity.
+- std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ThermalConductivity.
+- wtd_std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ThermalConductivity.
+- mean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for mean Valence.
+- wtd_mean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Valence.
+- gmean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Valence.
+- wtd_gmean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Valence.
+- entropy_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Valence.
+- wtd_entropy_Valence: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for wtd entropy Valence.
+- range_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range Valence.
+- wtd_range_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Valence.
+- std_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for std Valence.
+- wtd_std_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Valence.
+- critical_temp: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for critical temp.
+- useful_field_combinations: [['number_of_elements', 'range_atomic_radius', 'wtd_entropy_Valence'], ['number_of_elements', 'number_of_elements', 'wtd_entropy_Valence'], ['number_of_elements', 'mean_atomic_mass', 'wtd_entropy_Valence']]
+- fields_requiring_caution: ['wtd_entropy_Valence', 'mean_atomic_mass', 'wtd_mean_atomic_mass', 'gmean_atomic_mass']
+- source_url: https://www.openml.org/d/44964
+
+SQLite schema snapshot:
+{
+  "table_name": "n5",
+  "quoted_table_name": "\"n5\"",
+  "row_count": 21263,
+  "columns": [
+    {
+      "name": "number_of_elements",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
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+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3582.37059664405",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.970357142857",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "100.24495020209",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.786900489374915",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "81.0975",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "42.1023442240235",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.83471428571429",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.03921119227177",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "0.96403104867923",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.6583013524026",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "60.9794742857143",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.620535408483887",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.257045108326848",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.528892724768",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.26428571428571",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.2262216392083",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.04883427304761",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.1",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.440952123830019",
+      "critical_temp": "22"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8401427142857",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1107157375382",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "1.12922373013507",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "27.8487427142857",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.5887706050743",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1009.71714285714",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "937.025572960086",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.805229640813357",
+      "range_fie": "810.6",
+      "wtd_range_fie": "728.807142857143",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "356.31928137213",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "106.342857142857",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.8434418389765",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.26119371912948",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "36.5142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "70.6344484378724",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2923.84514285714",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.1170285737926",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.859810869291435",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1491.78342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3552.66866358032",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.240714285714",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "97.7747186271033",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.787396182520174",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "80.7664285714286",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "43.4520592088545",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.87114285714286",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.04454467078021",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "1.04496953590973",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.68401395107631",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "61.0866171428571",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.624877733754845",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.272819938850094",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.493671473918",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.24285714285714",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.20696281450132",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.09605191790054",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.05714285714286",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.428809457708675",
+      "critical_temp": "23"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n5",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gmean_Valence, measure_col=wtd_gmean_atomic_radius.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "gmean_Valence",
+    "measure_col": "wtd_gmean_atomic_radius",
+    "item_col": "wtd_entropy_atomic_radius",
+    "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": 87.458951,
+    "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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-8f5b-76e1-a55f-c2a2613a4633"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n       CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL) AS \\\"wtd_entropy_atomic_radius\\\",\\n       SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n       SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"gmean_Valence\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n  AND \\\"wtd_entropy_atomic_radius\\\" IS NOT NULL\\n  AND \\\"wtd_gmean_atomic_radius\\\" IS NOT NULL\\nGROUP BY CAST(\\\"gmean_Valence\\\" AS REAL), CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Uses the provided Within-Group Share of Total template with group_col=\\\"gmean_Valence\\\", item_col=\\\"wtd_entropy_atomic_radius\\\", and measure_col=\\\"wtd_gmean_atomic_radius\\\". Numeric-text columns are cast to REAL for aggregation and grouping.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":25703,"cached_input_tokens":24960,"output_tokens":1321,"reasoning_output_tokens":1034}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\",\n       CAST(\"wtd_entropy_atomic_radius\" AS REAL) AS \"wtd_entropy_atomic_radius\",\n       SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL)) AS \"total_measure\",\n       SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL))) OVER (PARTITION BY CAST(\"gmean_Valence\" AS REAL)) AS \"share_within_group\"\nFROM \"n5\"\nWHERE \"gmean_Valence\" IS NOT NULL\n  AND \"wtd_entropy_atomic_radius\" IS NOT NULL\n  AND \"wtd_gmean_atomic_radius\" IS NOT NULL\nGROUP BY CAST(\"gmean_Valence\" AS REAL), CAST(\"wtd_entropy_atomic_radius\" AS REAL)\nORDER BY \"share_within_group\" DESC\nLIMIT 19;","notes":"Uses the provided Within-Group Share of Total template with group_col=\"gmean_Valence\", item_col=\"wtd_entropy_atomic_radius\", and measure_col=\"wtd_gmean_atomic_radius\". Numeric-text columns are cast to REAL for aggregation and grouping."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:07:42.819712+00:00",
+  "ended_at": "2026-05-19T16:07:46.050935+00:00",
+  "elapsed_ms": 3231.19,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 45001,
+    "bytes_utf8": 45001,
+    "lines": 1080,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:07:47.054066+00:00",
+  "ended_at": "2026-05-19T16:07:50.259110+00:00",
+  "elapsed_ms": 3205.0,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 45001,
+    "bytes_utf8": 45001,
+    "lines": 1080,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,1080 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n5
+- dataset_name: N5
+- table_name: n5
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 81 feature columns and target `wtd_entropy_Valence`.
+- task_type: regression
+- target_column: wtd_entropy_Valence
+- main_row_count: 21263
+- important_fields:
+- number_of_elements: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for number of elements.
+- mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic mass.
+- wtd_mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic mass.
+- gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic mass.
+- wtd_gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic mass.
+- entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic mass.
+- wtd_entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic mass.
+- range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range atomic mass.
+- wtd_range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic mass.
+- std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic mass.
+- wtd_std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic mass.
+- mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean fie.
+- wtd_mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean fie.
+- gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean fie.
+- wtd_gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean fie.
+- entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy fie.
+- wtd_entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy fie.
+- range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range fie.
+- wtd_range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range fie.
+- std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std fie.
+- wtd_std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std fie.
+- mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic radius.
+- wtd_mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic radius.
+- gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic radius.
+- wtd_gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic radius.
+- entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic radius.
+- wtd_entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic radius.
+- range_atomic_radius: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range atomic radius.
+- wtd_range_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic radius.
+- std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic radius.
+- wtd_std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic radius.
+- mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean Density.
+- wtd_mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Density.
+- gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Density.
+- wtd_gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Density.
+- entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Density.
+- wtd_entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy Density.
+- range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range Density.
+- wtd_range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Density.
+- std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std Density.
+- wtd_std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Density.
+- mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ElectronAffinity.
+- wtd_mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ElectronAffinity.
+- gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ElectronAffinity.
+- wtd_gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ElectronAffinity.
+- entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ElectronAffinity.
+- wtd_entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ElectronAffinity.
+- range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ElectronAffinity.
+- wtd_range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ElectronAffinity.
+- std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ElectronAffinity.
+- wtd_std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ElectronAffinity.
+- mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean FusionHeat.
+- wtd_mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean FusionHeat.
+- gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean FusionHeat.
+- wtd_gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean FusionHeat.
+- entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy FusionHeat.
+- wtd_entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy FusionHeat.
+- range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range FusionHeat.
+- wtd_range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range FusionHeat.
+- std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std FusionHeat.
+- wtd_std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std FusionHeat.
+- mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ThermalConductivity.
+- wtd_mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ThermalConductivity.
+- gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ThermalConductivity.
+- wtd_gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ThermalConductivity.
+- entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ThermalConductivity.
+- wtd_entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ThermalConductivity.
+- range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ThermalConductivity.
+- wtd_range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ThermalConductivity.
+- std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ThermalConductivity.
+- wtd_std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ThermalConductivity.
+- mean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for mean Valence.
+- wtd_mean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Valence.
+- gmean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Valence.
+- wtd_gmean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Valence.
+- entropy_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Valence.
+- wtd_entropy_Valence: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for wtd entropy Valence.
+- range_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range Valence.
+- wtd_range_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Valence.
+- std_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for std Valence.
+- wtd_std_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Valence.
+- critical_temp: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for critical temp.
+- useful_field_combinations: [['number_of_elements', 'range_atomic_radius', 'wtd_entropy_Valence'], ['number_of_elements', 'number_of_elements', 'wtd_entropy_Valence'], ['number_of_elements', 'mean_atomic_mass', 'wtd_entropy_Valence']]
+- fields_requiring_caution: ['wtd_entropy_Valence', 'mean_atomic_mass', 'wtd_mean_atomic_mass', 'gmean_atomic_mass']
+- source_url: https://www.openml.org/d/44964
+
+SQLite schema snapshot:
+{
+  "table_name": "n5",
+  "quoted_table_name": "\"n5\"",
+  "row_count": 21263,
+  "columns": [
+    {
+      "name": "number_of_elements",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_ThermalConductivity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_Valence",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "critical_temp",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8626922857143",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1166119053847",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "1.06239554519617",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "31.7949208571429",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.6225345301219",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1010.26857142857",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "938.016780052204",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.791487788469155",
+      "range_fie": "810.6",
+      "wtd_range_fie": "735.985714285714",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "355.562966713294",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "105.514285714286",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.528422716633",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.20703998701461",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "42.9142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "69.2355694829807",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2961.50228571429",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.5438109235142",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.814598190091683",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1579.58342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3572.59662370838",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.727142857143",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "99.4146820543113",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.787381690763223",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "80.9871428571429",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "42.55839575195",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.84685714285714",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.04098598567486",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "0.994998193254128",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.66691955388659",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "61.0151885714286",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.62197948704754",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.262848266362233",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.51716251123",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.25714285714286",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.21978342968743",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.0662210317362",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.08571428571429",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.43705881545081",
+      "critical_temp": "29"
+    },
+    {
+      "number_of_elements": "5",
+      "mean_atomic_mass": "92.729214",
+      "wtd_mean_atomic_mass": "58.5184161428571",
+      "gmean_atomic_mass": "73.1327872225065",
+      "wtd_gmean_atomic_mass": "36.3966020291995",
+      "entropy_atomic_mass": "1.44930919335685",
+      "wtd_entropy_atomic_mass": "1.05775512271911",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "36.161939",
+      "std_atomic_mass": "47.0946331703134",
+      "wtd_std_atomic_mass": "53.9798696513451",
+      "mean_fie": "766.44",
+      "wtd_mean_fie": "1010.61285714286",
+      "gmean_fie": "720.605510513725",
+      "wtd_gmean_fie": "938.745412527433",
+      "entropy_fie": "1.54414454326973",
+      "wtd_entropy_fie": "0.807078214938731",
+      "range_fie": "810.6",
+      "wtd_range_fie": "743.164285714286",
+      "std_fie": "290.183029138508",
+      "wtd_std_fie": "354.963511171592",
+      "mean_atomic_radius": "161.2",
+      "wtd_mean_atomic_radius": "104.971428571429",
+      "gmean_atomic_radius": "141.465214777999",
+      "wtd_gmean_atomic_radius": "84.3701669575628",
+      "entropy_atomic_radius": "1.50832754035259",
+      "wtd_entropy_atomic_radius": "1.2041147982326",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "50.5714285714286",
+      "std_atomic_radius": "67.321319060161",
+      "wtd_std_atomic_radius": "68.0088169554027",
+      "mean_Density": "5821.4858",
+      "wtd_mean_Density": "3021.01657142857",
+      "gmean_Density": "1237.09508033858",
+      "wtd_gmean_Density": "54.0957182556368",
+      "entropy_Density": "1.31444218462105",
+      "wtd_entropy_Density": "0.914802177066343",
+      "range_Density": "10488.571",
+      "wtd_range_Density": "1667.38342857143",
+      "std_Density": "3767.40317577062",
+      "wtd_std_Density": "3632.64918471043",
+      "mean_ElectronAffinity": "90.89",
+      "wtd_mean_ElectronAffinity": "112.316428571429",
+      "gmean_ElectronAffinity": "69.8333146094209",
+      "wtd_gmean_ElectronAffinity": "101.166397739874",
+      "entropy_ElectronAffinity": "1.42799655342352",
+      "wtd_entropy_ElectronAffinity": "0.83866646563365",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "81.2078571428572",
+      "std_ElectronAffinity": "49.4381674417651",
+      "wtd_std_ElectronAffinity": "41.6676207979191",
+      "mean_FusionHeat": "7.7844",
+      "wtd_mean_FusionHeat": "3.79685714285714",
+      "gmean_FusionHeat": "4.40379049753476",
+      "wtd_gmean_FusionHeat": "1.03525111582814",
+      "entropy_FusionHeat": "1.37497728009085",
+      "wtd_entropy_FusionHeat": "1.07309384625263",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.59571428571429",
+      "std_FusionHeat": "4.47336265464807",
+      "wtd_std_FusionHeat": "4.60300005985449",
+      "mean_ThermalConductivity": "172.205316",
+      "wtd_mean_ThermalConductivity": "61.3723314285714",
+      "gmean_ThermalConductivity": "16.0642278788044",
+      "wtd_gmean_ThermalConductivity": "0.619734632330547",
+      "entropy_ThermalConductivity": "0.847404163195705",
+      "wtd_entropy_ThermalConductivity": "0.567706107876637",
+      "range_ThermalConductivity": "429.97342",
+      "wtd_range_ThermalConductivity": "51.4133828571429",
+      "std_ThermalConductivity": "198.554600255545",
+      "wtd_std_ThermalConductivity": "139.630922368904",
+      "mean_Valence": "2",
+      "wtd_mean_Valence": "2.25714285714286",
+      "gmean_Valence": "1.8881750225898",
+      "wtd_gmean_Valence": "2.21067940870655",
+      "entropy_Valence": "1.55711309805765",
+      "wtd_entropy_Valence": "1.04722136819323",
+      "range_Valence": "2",
+      "wtd_range_Valence": "1.12857142857143",
+      "std_Valence": "0.632455532033676",
+      "wtd_std_Valence": "0.468606270481621",
+      "critical_temp": "26"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8852418571429",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1225090359592",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "0.975980464165498",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "35.741099",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.6562677320982",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1010.82",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "939.009035665864",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.773620193146673",
+      "range_fie": "810.6",
+      "wtd_range_fie": "743.164285714286",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "354.804182855034",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "104.685714285714",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.214573243296",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.13254686280436",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "49.3142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "67.797712320685",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2999.15942857143",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.9740223651659",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.760305152674073",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1667.38342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3592.01928133231",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "112.213571428571",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "101.082152388012",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.786006736025012",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "81.2078571428572",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "41.6398777971212",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.82257142857143",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.03743942474191",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "0.927479442031317",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.75714285714286",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.64963546519334",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "60.94376",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.619094682704274",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.250477444193951",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.54061273835",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.27142857142857",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.23267852196607",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.02917468729772",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.11428571428571",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.444696640464954",
+      "critical_temp": "19"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8739670714286",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1195603503211",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "1.0222908923957",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "33.7680099285714",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.63940496787",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1010.54428571429",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "938.512776724546",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.783206660361291",
+      "range_fie": "810.6",
+      "wtd_range_fie": "739.575",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "355.183884421944",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "105.1",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.371352045645",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.17303291789271",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "46.1142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "68.5216649785203",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2980.33085714286",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.7584862910218",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.788888532221461",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1623.48342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3582.37059664405",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.970357142857",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "100.24495020209",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.786900489374915",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "81.0975",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "42.1023442240235",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.83471428571429",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.03921119227177",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "0.96403104867923",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.6583013524026",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "60.9794742857143",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.620535408483887",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.257045108326848",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.528892724768",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.26428571428571",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.2262216392083",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.04883427304761",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.1",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.440952123830019",
+      "critical_temp": "22"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8401427142857",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1107157375382",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "1.12922373013507",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "27.8487427142857",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.5887706050743",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1009.71714285714",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "937.025572960086",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.805229640813357",
+      "range_fie": "810.6",
+      "wtd_range_fie": "728.807142857143",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "356.31928137213",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "106.342857142857",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.8434418389765",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.26119371912948",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "36.5142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "70.6344484378724",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2923.84514285714",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.1170285737926",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.859810869291435",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1491.78342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3552.66866358032",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.240714285714",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "97.7747186271033",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.787396182520174",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "80.7664285714286",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "43.4520592088545",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.87114285714286",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.04454467078021",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "1.04496953590973",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.68401395107631",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "61.0866171428571",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.624877733754845",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.272819938850094",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.493671473918",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.24285714285714",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.20696281450132",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.09605191790054",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.05714285714286",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.428809457708675",
+      "critical_temp": "23"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "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"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n5",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=mean_Valence, measure_col=wtd_mean_fie.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "mean_Valence",
+    "measure_col": "wtd_mean_fie",
+    "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": 1010.167006,
+    "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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,1080 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n5
+- dataset_name: N5
+- table_name: n5
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 81 feature columns and target `wtd_entropy_Valence`.
+- task_type: regression
+- target_column: wtd_entropy_Valence
+- main_row_count: 21263
+- important_fields:
+- number_of_elements: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for number of elements.
+- mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic mass.
+- wtd_mean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic mass.
+- gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic mass.
+- wtd_gmean_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic mass.
+- entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic mass.
+- wtd_entropy_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic mass.
+- range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range atomic mass.
+- wtd_range_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic mass.
+- std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic mass.
+- wtd_std_atomic_mass: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic mass.
+- mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean fie.
+- wtd_mean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean fie.
+- gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean fie.
+- wtd_gmean_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean fie.
+- entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy fie.
+- wtd_entropy_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy fie.
+- range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range fie.
+- wtd_range_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range fie.
+- std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std fie.
+- wtd_std_fie: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std fie.
+- mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean atomic radius.
+- wtd_mean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean atomic radius.
+- gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean atomic radius.
+- wtd_gmean_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean atomic radius.
+- entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy atomic radius.
+- wtd_entropy_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy atomic radius.
+- range_atomic_radius: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range atomic radius.
+- wtd_range_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range atomic radius.
+- std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std atomic radius.
+- wtd_std_atomic_radius: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std atomic radius.
+- mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean Density.
+- wtd_mean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Density.
+- gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Density.
+- wtd_gmean_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Density.
+- entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Density.
+- wtd_entropy_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy Density.
+- range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range Density.
+- wtd_range_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Density.
+- std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std Density.
+- wtd_std_Density: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Density.
+- mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ElectronAffinity.
+- wtd_mean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ElectronAffinity.
+- gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ElectronAffinity.
+- wtd_gmean_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ElectronAffinity.
+- entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ElectronAffinity.
+- wtd_entropy_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ElectronAffinity.
+- range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ElectronAffinity.
+- wtd_range_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ElectronAffinity.
+- std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ElectronAffinity.
+- wtd_std_ElectronAffinity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ElectronAffinity.
+- mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean FusionHeat.
+- wtd_mean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean FusionHeat.
+- gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean FusionHeat.
+- wtd_gmean_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean FusionHeat.
+- entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy FusionHeat.
+- wtd_entropy_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy FusionHeat.
+- range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range FusionHeat.
+- wtd_range_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range FusionHeat.
+- std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std FusionHeat.
+- wtd_std_FusionHeat: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std FusionHeat.
+- mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mean ThermalConductivity.
+- wtd_mean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean ThermalConductivity.
+- gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean ThermalConductivity.
+- wtd_gmean_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean ThermalConductivity.
+- entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy ThermalConductivity.
+- wtd_entropy_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd entropy ThermalConductivity.
+- range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for range ThermalConductivity.
+- wtd_range_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range ThermalConductivity.
+- std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for std ThermalConductivity.
+- wtd_std_ThermalConductivity: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std ThermalConductivity.
+- mean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for mean Valence.
+- wtd_mean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd mean Valence.
+- gmean_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for gmean Valence.
+- wtd_gmean_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd gmean Valence.
+- entropy_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for entropy Valence.
+- wtd_entropy_Valence: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for wtd entropy Valence.
+- range_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for range Valence.
+- wtd_range_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd range Valence.
+- std_Valence: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for std Valence.
+- wtd_std_Valence: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for wtd std Valence.
+- critical_temp: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for critical temp.
+- useful_field_combinations: [['number_of_elements', 'range_atomic_radius', 'wtd_entropy_Valence'], ['number_of_elements', 'number_of_elements', 'wtd_entropy_Valence'], ['number_of_elements', 'mean_atomic_mass', 'wtd_entropy_Valence']]
+- fields_requiring_caution: ['wtd_entropy_Valence', 'mean_atomic_mass', 'wtd_mean_atomic_mass', 'gmean_atomic_mass']
+- source_url: https://www.openml.org/d/44964
+
+SQLite schema snapshot:
+{
+  "table_name": "n5",
+  "quoted_table_name": "\"n5\"",
+  "row_count": 21263,
+  "columns": [
+    {
+      "name": "number_of_elements",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_atomic_mass",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_fie",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_atomic_radius",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_Density",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "entropy_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_entropy_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "range_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_range_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "std_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_std_ElectronAffinity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mean_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_mean_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "gmean_FusionHeat",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wtd_gmean_FusionHeat",
+      "type": "TEXT",
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+      "wtd_mean_ThermalConductivity": "60.9794742857143",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.620535408483887",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.257045108326848",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.528892724768",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.26428571428571",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.2262216392083",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.04883427304761",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.1",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.440952123830019",
+      "critical_temp": "22"
+    },
+    {
+      "number_of_elements": "4",
+      "mean_atomic_mass": "88.9444675",
+      "wtd_mean_atomic_mass": "57.8401427142857",
+      "gmean_atomic_mass": "66.3615924315719",
+      "wtd_gmean_atomic_mass": "36.1107157375382",
+      "entropy_atomic_mass": "1.1817952393305",
+      "wtd_entropy_atomic_mass": "1.12922373013507",
+      "range_atomic_mass": "122.90607",
+      "wtd_range_atomic_mass": "27.8487427142857",
+      "std_atomic_mass": "51.9688277861034",
+      "wtd_std_atomic_mass": "53.5887706050743",
+      "mean_fie": "775.425",
+      "wtd_mean_fie": "1009.71714285714",
+      "gmean_fie": "718.15289995213",
+      "wtd_gmean_fie": "937.025572960086",
+      "entropy_fie": "1.30596703599158",
+      "wtd_entropy_fie": "0.805229640813357",
+      "range_fie": "810.6",
+      "wtd_range_fie": "728.807142857143",
+      "std_fie": "323.811807806633",
+      "wtd_std_fie": "356.31928137213",
+      "mean_atomic_radius": "160.25",
+      "wtd_mean_atomic_radius": "106.342857142857",
+      "gmean_atomic_radius": "136.126003095455",
+      "wtd_gmean_atomic_radius": "84.8434418389765",
+      "entropy_atomic_radius": "1.25924397214289",
+      "wtd_entropy_atomic_radius": "1.26119371912948",
+      "range_atomic_radius": "205",
+      "wtd_range_atomic_radius": "36.5142857142857",
+      "std_atomic_radius": "75.2375404967494",
+      "wtd_std_atomic_radius": "70.6344484378724",
+      "mean_Density": "4654.35725",
+      "wtd_mean_Density": "2923.84514285714",
+      "gmean_Density": "724.953210852388",
+      "wtd_gmean_Density": "53.1170285737926",
+      "entropy_Density": "1.03312880053102",
+      "wtd_entropy_Density": "0.859810869291435",
+      "range_Density": "8958.571",
+      "wtd_range_Density": "1491.78342857143",
+      "std_Density": "3306.1628967555",
+      "wtd_std_Density": "3552.66866358032",
+      "mean_ElectronAffinity": "81.8375",
+      "wtd_mean_ElectronAffinity": "111.240714285714",
+      "gmean_ElectronAffinity": "60.1231785550982",
+      "wtd_gmean_ElectronAffinity": "97.7747186271033",
+      "entropy_ElectronAffinity": "1.15968659338134",
+      "wtd_entropy_ElectronAffinity": "0.787396182520174",
+      "range_ElectronAffinity": "127.05",
+      "wtd_range_ElectronAffinity": "80.7664285714286",
+      "std_ElectronAffinity": "51.4337118896741",
+      "wtd_std_ElectronAffinity": "43.4520592088545",
+      "mean_FusionHeat": "6.9055",
+      "wtd_mean_FusionHeat": "3.87114285714286",
+      "gmean_FusionHeat": "3.47947484936327",
+      "wtd_gmean_FusionHeat": "1.04454467078021",
+      "entropy_FusionHeat": "1.08857534188499",
+      "wtd_entropy_FusionHeat": "1.04496953590973",
+      "range_FusionHeat": "12.878",
+      "wtd_range_FusionHeat": "1.74457142857143",
+      "std_FusionHeat": "4.59906411675245",
+      "wtd_std_FusionHeat": "4.68401395107631",
+      "mean_ThermalConductivity": "107.756645",
+      "wtd_mean_ThermalConductivity": "61.0866171428571",
+      "gmean_ThermalConductivity": "7.06248773046785",
+      "wtd_gmean_ThermalConductivity": "0.624877733754845",
+      "entropy_ThermalConductivity": "0.308147989812345",
+      "wtd_entropy_ThermalConductivity": "0.272819938850094",
+      "range_ThermalConductivity": "399.97342",
+      "wtd_range_ThermalConductivity": "57.1276685714286",
+      "std_ThermalConductivity": "168.854243757651",
+      "wtd_std_ThermalConductivity": "138.493671473918",
+      "mean_Valence": "2.25",
+      "wtd_mean_Valence": "2.24285714285714",
+      "gmean_Valence": "2.21336383940064",
+      "wtd_gmean_Valence": "2.20696281450132",
+      "entropy_Valence": "1.36892236074022",
+      "wtd_entropy_Valence": "1.09605191790054",
+      "range_Valence": "1",
+      "wtd_range_Valence": "1.05714285714286",
+      "std_Valence": "0.433012701892219",
+      "wtd_std_Valence": "0.428809457708675",
+      "critical_temp": "23"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "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"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n5",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=mean_Valence, measure_col=wtd_mean_fie.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "mean_Valence",
+    "measure_col": "wtd_mean_fie",
+    "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": 1010.167006,
+    "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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-391a-7f71-9c5b-86729f33b9de"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-391a-7f71-9c5b-86729f33b9de"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-4975-7613-a891-70607a820a89"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-4975-7613-a891-70607a820a89"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=entropy_ThermalConductivity.
+Result preview: [{"entropy_ThermalConductivity": 1.63397718517195}, {"entropy_ThermalConductivity": 1.62999534641444}, {"entropy_ThermalConductivity": 1.62348386641166}, {"entropy_ThermalConductivity": 1.62348386641166}, {"entropy_ThermalConductivity": 1.62348386641166}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n5
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_n5_08e36e6d84a4bdab
+-- problem_id: v2p_n5_e9fe86cd3737d835
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+  SELECT
+    CAST(NULLIF("entropy_ThermalConductivity", '') AS REAL) AS "entropy_ThermalConductivity",
+    NTILE(10) OVER (
+      ORDER BY CAST(NULLIF("entropy_ThermalConductivity", '') AS REAL) DESC
+    ) AS "tail_bucket"
+  FROM "n5"
+  WHERE NULLIF("entropy_ThermalConductivity", '') IS NOT NULL
+)
+SELECT "entropy_ThermalConductivity"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY "entropy_ThermalConductivity" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n  SELECT\n    CAST(NULLIF(\"entropy_ThermalConductivity\", '') AS REAL) AS \"entropy_ThermalConductivity\",\n    NTILE(10) OVER (\n      ORDER BY CAST(NULLIF(\"entropy_ThermalConductivity\", '') AS REAL) DESC\n    ) AS \"tail_bucket\"\n  FROM \"n5\"\n  WHERE NULLIF(\"entropy_ThermalConductivity\", '') IS NOT NULL\n)\nSELECT \"entropy_ThermalConductivity\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"entropy_ThermalConductivity\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    CAST(NULLIF(\\\"entropy_ThermalConductivity\\\", '') AS REAL) AS \\\"entropy_ThermalConductivity\\\",\\n    NTILE(10) OVER (\\n      ORDER BY CAST(NULLIF(\\\"entropy_ThermalConductivity\\\", '') AS REAL) DESC\\n    ) AS \\\"tail_bucket\\\"\\n  FROM \\\"n5\\\"\\n  WHERE NULLIF(\\\"entropy_ThermalConductivity\\\", '') IS NOT NULL\\n)\\nSELECT \\\"entropy_ThermalConductivity\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"entropy_ThermalConductivity\\\" DESC;\", \"columns\": [\"entropy_ThermalConductivity\"], \"rows\": [{\"entropy_ThermalConductivity\": 1.63397718517195}, {\"entropy_ThermalConductivity\": 1.62999534641444}, {\"entropy_ThermalConductivity\": 1.62348386641166}, {\"entropy_ThermalConductivity\": 1.62348386641166}, {\"entropy_ThermalConductivity\": 1.62348386641166}, {\"entropy_ThermalConductivity\": 1.60361502581272}, {\"entropy_ThermalConductivity\": 1.60361502581272}, {\"entropy_ThermalConductivity\": 1.60361502581272}, {\"entropy_ThermalConductivity\": 1.60361502581272}, {\"entropy_ThermalConductivity\": 1.60149122292518}, {\"entropy_ThermalConductivity\": 1.60149122292518}, {\"entropy_ThermalConductivity\": 1.60149122292518}, {\"entropy_ThermalConductivity\": 1.60149122292518}, {\"entropy_ThermalConductivity\": 1.53380450794169}, {\"entropy_ThermalConductivity\": 1.53380450794169}, {\"entropy_ThermalConductivity\": 1.53380450794169}, {\"entropy_ThermalConductivity\": 1.53380450794169}, {\"entropy_ThermalConductivity\": 1.5247935281735}, {\"entropy_ThermalConductivity\": 1.52293229086615}, {\"entropy_ThermalConductivity\": 1.52293229086615}, {\"entropy_ThermalConductivity\": 1.52293229086615}, {\"entropy_ThermalConductivity\": 1.49221910273072}, {\"entropy_ThermalConductivity\": 1.49221910273072}, {\"entropy_ThermalConductivity\": 1.49221910273072}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.48664968064988}, {\"entropy_ThermalConductivity\": 1.47867009366626}, {\"entropy_ThermalConductivity\": 1.47867009366626}, {\"entropy_ThermalConductivity\": 1.47867009366626}, {\"entropy_ThermalConductivity\": 1.47359737943551}, {\"entropy_ThermalConductivity\": 1.47359737943551}, {\"entropy_ThermalConductivity\": 1.47116804705512}, {\"entropy_ThermalConductivity\": 1.46985707968648}, {\"entropy_ThermalConductivity\": 1.46985707968648}, {\"entropy_ThermalConductivity\": 1.46985707968648}, {\"entropy_ThermalConductivity\": 1.46985707968648}, {\"entropy_ThermalConductivity\": 1.46985707968648}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 71.39}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n5",
+  "started_at": "2026-05-19T15:51:58.686506+00:00",
+  "ended_at": "2026-05-19T15:52:10.280965+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n5_08e36e6d84a4bdab",
+    "problem_id": "v2p_n5_e9fe86cd3737d835",
+    "dataset_id": "n5",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "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 Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=entropy_ThermalConductivity.",
+    "bindings": {
+      "measure_col": "entropy_ThermalConductivity",
+      "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": 0.573799,
+      "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": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1",
+      "binding_index=65"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_08e36e6d84a4bdab.sql",
+  "usage_summary": {
+    "dataset_id": "n5",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n5_08e36e6d84a4bdab",
+    "api_calls": 0,
+    "input_tokens": 25631,
+    "cached_input_tokens": 24960,
+    "output_tokens": 552,
+    "total_tokens": 26183,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11506.88,
+    "sql_execution_elapsed_ms_total": 71.39,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:52:10.207350+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11506.88, "started_at": "2026-05-19T15:51:58.699037+00:00", "ended_at": "2026-05-19T15:52:10.205955+00:00", "prompt_metrics": {"chars": 45009, "bytes_utf8": 45009, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 758, "bytes_utf8": 758, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25631, "cached_input_tokens": 24960, "output_tokens": 552, "reasoning_output_tokens": 343}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    CAST(NULLIF(\\\"entropy_ThermalConductivity\\\", '') AS REAL) AS \\\"entropy_ThermalConductivity\\\",\\n    NTILE(10) OVER (\\n      ORDER BY CAST(NULLIF(\\\"entropy_ThermalConductivity\\\", '') AS REAL) DESC\\n    ) AS \\\"tail_bucket\\\"\\n  FROM \\\"n5\\\"\\n  WHERE NULLIF(\\\"entropy_ThermalConductivity\\\", '') IS NOT NULL\\n)\\nSELECT \\\"entropy_ThermalConductivity\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"entropy_ThermalConductivity\\\" DESC;\",\"notes\":\"Used the provided Quantile Tail Slice template with measure_col bound to \\\"entropy_ThermalConductivity\\\" and num_tiles=10. Casts the TEXT-stored measure to REAL for correct numeric ranking and excludes null/empty values.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n5",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n5_08e36e6d84a4bdab",
+  "api_calls": 0,
+  "input_tokens": 25631,
+  "cached_input_tokens": 24960,
+  "output_tokens": 552,
+  "total_tokens": 26183,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 11506.88,
+  "sql_execution_elapsed_ms_total": 71.39,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_08e36e6d84a4bdab/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0910bf38bc0aa04d/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:20.474851+00:00",
+  "ended_at": "2026-05-19T16:06:23.413538+00:00",
+  "elapsed_ms": 2938.66,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 45020,
+    "bytes_utf8": 45020,
+    "lines": 1080,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}