{
  "handle": "Judge",
  "mechanism": "Qualitative Evaluation. Evaluates the structural merit or quality of a {{subject}} on a continuous scale [0.0, 1.0]. Unlike {{check}} (which validates binary truth) or {{validate}} (which checks schema), Judge evaluates {{gradient}}s of quality by applying a {{scoring_function}} that encodes the {{criteria}}, yielding a {{score}}.",
  "gloss": "Scalar evaluation of merit",
  "failure_modes": [
    "Subjectivity Creep: {{criteria}} drift from objective to subjective without detection",
    "Threshold Gaming: {{agent}} optimizes for passing threshold rather than actual quality"
  ],
  "invariants": [
    "Scores on [0.0, 1.0]. An accepted {{scoring_function}} declaring a different range is normalised, and the normalisation is stated.",
    "Determinism: the same input context yields the same score."
  ],
  "parameters": [
    {
      "name": "threshold",
      "type": "Float",
      "range": "[0.0, 1.0]",
      "description": "Minimum score to pass evaluation"
    }
  ],
  "_meta": {
    "tier": 1,
    "ring": 0,
    "supersedes": [
      "sema:Judge#mh:SHA-256:d84f449a90c6cdbe8e9bf7a8dcecd7369bb87cdab6880a1faa0dfe949584ae56",
      "sema:Judge#mh:SHA-256:24016b1994d525fa1ff75ec9066fc2044284a90a1fe1b6336898bc79237e7f90",
      "sema:Judge#mh:SHA-256:74de8ea8c2fb87fe5b8591a08d17bcd5658149b2f29d2133ccd3f47f212ffe13"
    ],
    "path": [
      "Infrastructure",
      "Primitives"
    ]
  },
  "sema_id": "sema:Judge#mh:SHA-256:704cbb71588d7a3bafa08b71c863005e31ec4400860b9cb8b094e660da9c7c6c",
  "sema_ref": "Judge#704c",
  "sema_stub": "704c",
  "dependencies": {
    "accepts": {
      "scoring_function": "sema:ScoringFunction#mh:SHA-256:c6042940db8c3238b948c7851aa315defbe31e1639dba718fcce0e38523e8d50",
      "subject": "sema:Subject#mh:SHA-256:433d8e6354d25b4350f39a8c2b06f29beac943adb62b677efa3bbb9bb5d0802c"
    },
    "references": {
      "agent": "sema:Agent#mh:SHA-256:e127459069739fffc96a71d54ef6e8c97ca53471d5349c16aa72a092a33756cd",
      "check": "sema:Check#mh:SHA-256:6890b221c38531710528cd84bbf3a957e29d9836dfc9c02669fc0a86709bcb00",
      "criteria": "sema:Criteria#mh:SHA-256:92ab804441f5ff5307c6e45905818372e6159c4bd64d264ac7fddd6705de8acb",
      "gradient": "sema:Gradient#mh:SHA-256:ecfc2cd2d9eb95778ef04ede8a7e872c33822f174a9e3273fa7bba92b3a30e36",
      "validate": "sema:Validate#mh:SHA-256:ffd128811cea63d7a4dac2c45c95fd8ac1d8a7d3788423fb6710b622167305ed"
    },
    "yields": {
      "score": "sema:Score#mh:SHA-256:bb1228afa932e0908754faf55d782b4f0b14c9c95f124481774ea2ccbe44470c"
    }
  },
  "sema_layer": "Infrastructure",
  "sema_category": "Primitives",
  "used_by": {
    "references": {
      "AdversarialSteel": "sema:AdversarialSteel#mh:SHA-256:90b1f6225005275367227017d930134959decfd97f52d7550de19cd8784c8702",
      "Contract": "sema:Contract#mh:SHA-256:98747322ee31ffa265a8dfd6609d726e0dcba9c513e5ec85742c6c04e4afaa26",
      "Expansive": "sema:Expansive#mh:SHA-256:49a7bf9576c5a3c81c4287bf5be190e00f99b3a7bab94608ff441da0dc8018b3",
      "HindsightBlock": "sema:HindsightBlock#mh:SHA-256:5d8d82eb55fe76c2657aa1f5ac21d4bc38edb2a3835c4e1ca1a071bad5f2a8fd",
      "NormativeJudge": "sema:NormativeJudge#mh:SHA-256:684f219181e9180ffea6b4ff2947dbdb9d37a12ae690c02c088f58881f9e0726",
      "NormCheck": "sema:NormCheck#mh:SHA-256:39ba24a3792c16fb8689bfd5bd0093d7f43b13e276fccc1d2b3e97fa20682603",
      "Novelty": "sema:Novelty#mh:SHA-256:954f66918110b3dbbfadd1f47dd27ae095a8727113dce1c45d34931cf517d94a",
      "Parsimony": "sema:Parsimony#mh:SHA-256:4df866b08c5797a42a104097a24ea332aa3f4dfeccd73e38f27564cdb7cc6c9e",
      "Realizable": "sema:Realizable#mh:SHA-256:2ed7d7f05fe50ff38d46631e5334f2229c4c1f1118e0576d88388b23a586d622",
      "SourceEvaluate": "sema:SourceEvaluate#mh:SHA-256:24f610415c3d55de5161b2816f2c9f24275388972b0a68f897cedf8c4b67dc58",
      "TriGate": "sema:TriGate#mh:SHA-256:04a9a7cc17d29dab76ee781b7d7a3f557f68d528788da12620a320ce53d6b44c"
    },
    "composes_with": {
      "SteelmanCheck": "sema:SteelmanCheck#mh:SHA-256:b004eb6d85a184da7f9bb7fc06d011bc869f6eb6ad1061f30cbbbcc4c2b8f6aa"
    }
  }
}