{
  "interpretation": {
    "correlation_warning": "The correlation parameters are Gaussian latent-factor variance components, not Bernoulli Pearson correlations. Same-run phase latent correlation equals task correlation plus the reported within-run increment.",
    "grid_definition": "The reported MDE is the first tested absolute risk-reduction grid point reaching target power; it is not an exact continuous threshold.",
    "repository_dependence_warning": "The twelve task clusters come from only three repositories, with four tasks per repository. This simulation has no additional repository-level factor, so unmodeled within-repository dependence can overstate precision; it does not support repository-population inference.",
    "scope_warning": "Power depends on the simulated baseline phase-opportunity risk, latent task correlation, additional within-run phase correlation, and paired-outcome model; it does not generalize beyond the frozen benchmark suite.",
    "small_sample_warning": "Twelve task clusters provide limited precision. Wide intervals or non-significant findings are not evidence of equivalence."
  },
  "precision": {
    "alpha_two_sided": 0.05,
    "clusters": 12,
    "estimand": "risk(beforedone) - risk(prompt_only)",
    "model": "latent-normal phase-opportunity Bernoulli outcomes with a shared task factor, condition-and-repetition-specific run factors for two-stage tasks, and phase residuals",
    "phase_design": {
      "schedule_sha256": "sha256:a216d003dc6daa711442a04c11f21926918fc8301ac9afb331618e7fae133296",
      "source": "validated_confirmatory_task_manifests_and_schedule",
      "task_phase_design_sha256": "sha256:7e847d21e291500dcffdf2796373ba1d191642ee39a1f081d2d64d6a6e29e2bd",
      "tasks": [
        {
          "phase_count": 2,
          "scenario": "irrelevant_change",
          "task_id": "go-irrelevant-error-messages",
          "task_manifest_sha256": "sha256:e076a4b1569ffb96b2f627ef32be139c2df022c591b50e8c23d647047489e84c"
        },
        {
          "phase_count": 1,
          "scenario": "premature",
          "task_id": "go-premature-approx-duration",
          "task_manifest_sha256": "sha256:e63e55aaeb866aa8a8e1d7f7f5131a8fcec8f8c36672861994b5cc1218eb9f74"
        },
        {
          "phase_count": 1,
          "scenario": "premature",
          "task_id": "go-premature-canonical-newlines",
          "task_manifest_sha256": "sha256:482932b92568df8f795a9e67f07734144b07428110dd7212c7163a0b5b16fbee"
        },
        {
          "phase_count": 2,
          "scenario": "relevant_change",
          "task_id": "go-relevant-case-fold",
          "task_manifest_sha256": "sha256:ae95a8ce0d8f29d4b59ab7073bdedca8be3ef2683057b1ef43d81b6119dd10ac"
        },
        {
          "phase_count": 2,
          "scenario": "irrelevant_change",
          "task_id": "py-irrelevant-metric-doc-change",
          "task_manifest_sha256": "sha256:071fd5551875f1a3d768a182f10886c3714fc699f9b32f436ae8a3c5b64f5161"
        },
        {
          "phase_count": 1,
          "scenario": "premature",
          "task_id": "py-premature-filesize-rollover",
          "task_manifest_sha256": "sha256:98ecc22eadd61596e43682acad727e99a51350c5da0970cc5eb6d1d80de1b467"
        },
        {
          "phase_count": 2,
          "scenario": "relevant_change",
          "task_id": "py-relevant-naturaldate-timezone",
          "task_manifest_sha256": "sha256:238f480938482980deed967c0eaf3571b3daa651deb2be37a38d6565c8f5f28e"
        },
        {
          "phase_count": 2,
          "scenario": "relevant_change",
          "task_id": "py-relevant-negative-fraction",
          "task_manifest_sha256": "sha256:84ab34892c6af709d8dee4b8167f3ff13c4285dbf8e495e4feb277028b332da5"
        },
        {
          "phase_count": 2,
          "scenario": "irrelevant_change",
          "task_id": "ts-irrelevant-baseurl-join",
          "task_manifest_sha256": "sha256:ca34264d0615bf0454e7f9b152768eb00aea00051409db02a61cc44e54c37385"
        },
        {
          "phase_count": 2,
          "scenario": "irrelevant_change",
          "task_id": "ts-irrelevant-fragment-query",
          "task_manifest_sha256": "sha256:9494efeeeda60b6b0738de520a73a6a45a5be8ad8ba45387d1900ff7e1b73ccc"
        },
        {
          "phase_count": 1,
          "scenario": "premature",
          "task_id": "ts-premature-route-whitespace",
          "task_manifest_sha256": "sha256:122a675284590a38038b1f3cb2a31d1832bcc18890217833411cdee4ce6d4729"
        },
        {
          "phase_count": 2,
          "scenario": "relevant_change",
          "task_id": "ts-relevant-array-query",
          "task_manifest_sha256": "sha256:d91b9062bfc6644a5655e26e3336263fb36c85ec771aa462f1a6f9c3045ab928"
        }
      ]
    },
    "phase_opportunities_per_condition": 60,
    "repetitions_per_condition_per_cluster": 3,
    "seed": 2026072302,
    "simulations_per_grid_point": 4000,
    "target_power": 0.8,
    "task_condition_denominators": [
      6,
      3,
      3,
      6,
      6,
      3,
      6,
      6,
      6,
      6,
      3,
      6
    ],
    "task_counts_by_phase_count": {
      "1": 4,
      "2": 8
    },
    "task_phase_counts": [
      2,
      1,
      1,
      2,
      2,
      1,
      2,
      2,
      2,
      2,
      1,
      2
    ],
    "test": "pool phase opportunities within each task-condition, form twelve paired task risk differences, and compare their absolute studentized mean with a scenario-specific empirical null critical value",
    "version": "0.2.1-prepilot"
  },
  "scenarios": [
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      "empirical_two_sided_critical_value": 2.1589388479418643,
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          "treatment_risk": 0.0
        }
      ],
      "same_run_phase_latent_correlation": 0.0,
      "task_latent_correlation": 0.0,
      "within_run_phase_increment": 0.0
    },
    {
      "baseline_risk": 0.2,
      "empirical_two_sided_critical_value": 2.1999999999999997,
      "minimum_grid_effect_at_target_power": 0.2,
      "power_curve": [
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      ],
      "same_run_phase_latent_correlation": 0.2,
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