ECAA-workflow/config/downstream-policy/best-practice-scoring-policy.schema.json at main · SuLab/ECAA-workflow · GitHub

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{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Best Practice Scoring Policy",
  "description": "Sidecar schema validating the top-level shape of best-practice-scoring-policy.json. Describes composite score weights, evidence quality modifiers, freshness and contradiction penalties, confidence adjustments, quality-gate penalties, clamps, recommendation thresholds, eligibility criteria, tier-assignment rules, and per-stage-class scoring rules.",
  "type": "object",
  "required": [
    "schemaVersion",
    "compositeScoreWeights",
    "evidenceQuality",
    "freshness",
    "contradiction",
    "confidenceLevelAdjustments",
    "qualityGatePenalties",
    "adjustmentClamp",
    "finalScoreClamp",
    "defaultRecommendationThreshold",
    "winMarginByConfidence",
    "defaultEligibilityCriteria",
    "tierAssignmentRules",
    "stageClassRules"
  ],
  "properties": {
    "schemaVersion": { "type": "string" },
    "compositeScoreWeights": {
      "type": "object",
      "required": ["defaultSuitability", "robustness", "adoption", "operationalFit", "specMatch"],
      "properties": {
        "defaultSuitability": { "type": "number" },
        "robustness": { "type": "number" },
        "adoption": { "type": "number" },
        "operationalFit": { "type": "number" },
        "specMatch": { "type": "number" },
        "renormalizeWhenAxisMissing": {
          "type": "array",
          "items": { "type": "string" },
          "description": "Axes whose weight is redistributed proportionally when the axis has no input source. Absent or empty preserves the pre-2026-05-27 literal-multiplication behaviour."
        }
      }
    },
    "evidenceQuality": { "type": "object" },
    "freshness": { "type": "object" },
    "contradiction": { "type": "object" },
    "confidenceLevelAdjustments": { "type": "object" },
    "qualityGatePenalties": { "type": "object" },
    "adjustmentClamp": { "type": "object" },
    "finalScoreClamp": { "type": "object" },
    "defaultRecommendationThreshold": { "type": "number" },
    "winMarginByConfidence": { "type": "object" },
    "defaultEligibilityCriteria": { "type": "array" },
    "tierAssignmentRules": { "type": "object" },
    "stageClassRules": { "type": "array" }
  }
}