{
  "application_release": "7.31",
  "record_count": 8,
  "records": [
    {
      "content_hash": "e3dda995e6bf798ec9ce1f1e340f8581a5e196718bf7e5eef4d95ee75a039abe",
      "denominator": "All 287 canonical stakeholders",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Union stakeholder IDs from included governed relationships.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "Published governed coverage is sparse and does not establish real-world participation."
      ],
      "method_id": "method:v731:scenario-stakeholder-set",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Distinct included stakeholder IDs",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "Which published governed stakeholders are present in a scenario?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "distinct canonical stakeholder",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    },
    {
      "content_hash": "3ddbd068a58a798bd1c0ead0f94141ecaca0657924f35082c8a3d8763a55e23d",
      "denominator": "71 published governed relationships",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Filter the 71 published governed relationships by validated scope fields.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "A missing relationship is a corpus gap, not evidence of real-world absence."
      ],
      "method_id": "method:v731:scenario-relationship-set",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Included relationship IDs",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "Which governed relationships are included in a scenario?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "canonical governed relationship",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    },
    {
      "content_hash": "5d50c43cddc2b61e5b3ed7574609492fad7227ccc4201b5e473b2ecc0f571386",
      "denominator": "All canonical stakeholder categories in the v7.27 roster",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Canonical stakeholder categories minus categories represented by included stakeholder IDs.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "Category applicability to a real decision is not inferred."
      ],
      "method_id": "method:v731:missing-published-category-coverage",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Unrepresented canonical stakeholder categories",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "Which canonical stakeholder categories lack published governed coverage?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "canonical stakeholder category",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    },
    {
      "content_hash": "fd2b2802f1fe396fcc19b67fb0c2bbcc80f4433bf76cd82fb25bf9bcaf565850",
      "denominator": "Included relationship IDs",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Select included relationships whose admission lane is FORMAL_MANDATE_OR_JURISDICTION.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "Formal authority does not imply endorsement, preference, exclusivity, or support."
      ],
      "method_id": "method:v731:formal-authority-subset",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Included formal-authority relationship IDs",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "Which included relationships were admitted through formal authority?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "canonical governed relationship",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    },
    {
      "content_hash": "26f6557902240ea9eac1c3f8149489897cd7f159debe677afb414182bf4d0017",
      "denominator": "Included relationships or distinct included evidence records, as labeled",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Count distinct evidence IDs and relationship-to-evidence associations separately for each scope.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "Corpus counts do not measure research quality or truth."
      ],
      "method_id": "method:v731:evidence-asymmetry",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Scenario-specific evidence count",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "How does published evidence coverage differ across issue scopes?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "distinct evidence record and edge–evidence association",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    },
    {
      "content_hash": "a612467aa70fbba550d468541aaa5054ed1da2029828011442b7f30972561d09",
      "denominator": "Compared scenario record sets",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Compute sorted set additions, removals, and intersection for like units.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "No aggregate score, preference, or winner is produced."
      ],
      "method_id": "method:v731:scenario-delta",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Only-in and shared canonical IDs",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "Which exact record sets change between scenarios?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "canonical record ID",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    },
    {
      "content_hash": "cf2dd7c1eb1be65b892f0cf664fef8ca6e83e92e08fbd0b5df813aed3dd58525",
      "denominator": "Declared trigger registry",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Map declared gap triggers to fixed non-recommendation templates and supporting IDs.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "Considerations support research preparation and do not recommend an action."
      ],
      "method_id": "method:v731:decision-consideration-generation",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Triggered consideration records",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "Which documented corpus limitations matter for further research?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "deterministic trigger",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    },
    {
      "content_hash": "6c3b25a0bdeed732e4e27bc76bae5926fceb3bdeaf2a1685b05684384549411a",
      "denominator": "Documented gap triggers",
      "exclusion_rules": [
        "Exclude inferred, candidate, hypothetical, and unpublished relationships."
      ],
      "formula": "Map uncovered issues, missing dates, unknown geography, and missing categories to fixed question templates.",
      "inclusion_rules": [
        "Use only exact canonical IDs in the active validated scenario configuration."
      ],
      "input_registries": [
        "data/intersection-studio-v730/intersection-record-index.v1.json",
        "data/intersection-studio-v730/intersection-studio-index.v1.json"
      ],
      "limitations": [
        "Questions do not accuse, forecast, rank, or prescribe."
      ],
      "method_id": "method:v731:research-question-generation",
      "method_version": "1.0.0",
      "missing_data_handling": "Keep unknown and unavailable values explicit; never replace them with zero.",
      "numerator": "Generated question records",
      "prohibited_interpretations": [
        "policy recommendation",
        "scenario ranking or winner selection",
        "causal forecast",
        "stakeholder preference or influence inference",
        "real-world completeness"
      ],
      "question_answered": "Which bounded follow-up questions arise from documented gaps?",
      "tie_handling": "Sort equal values by stable canonical ID.",
      "unit_of_analysis": "deterministic gap record",
      "zero_handling": "Render a truthful zero-result state with the governing denominator and limitation."
    }
  ],
  "schema_version": "wsmusings.decision-methods.v1",
  "source_release_id": "WSM-V7.28-GOVERNED-RELATIONSHIP-EXPANSION-EXPLAINABILITY-PRODUCTION-2026-08-25"
}