{
  "checklist": "Credible frozen ordinary rule exactly matches the original exploratory standard. A purpose-aware checklist is an oracle reference, perfect by construction; its author is given the evaluation rule. It is not a fair learned competitor.",
  "co_design": "The author designed attributes, criterion and task together. The rule is expressible in the learner's hypothesis class. This is a mechanism test, not independent validation of professional judgement.",
  "conditions": [
    "same_use",
    "changed_use",
    "after_correction",
    "taste"
  ],
  "correction": "32 decision feedback records per fold selected by hash from the training bundles, before fitting or scoring. Add to the same 64 initial records. Evaluate the same untouched decision cases; do not choose corrections using their errors.",
  "date": "2026-10-18",
  "domains": {
    "attestation": [
      "absent",
      "present"
    ],
    "conflict": [
      "clear",
      "unresolved"
    ],
    "coverage": [
      "partial",
      "complete"
    ],
    "currency": [
      "old",
      "current"
    ],
    "evidence": [
      "absent",
      "cited",
      "checked"
    ],
    "finish": [
      "plain",
      "polished"
    ],
    "purpose": [
      "explore",
      "decide"
    ]
  },
  "effort": "Report feedback counts and tree size/history comparisons only. No time saving, review effort reduction or human benefit is measured.",
  "feature_order": [
    "purpose",
    "evidence",
    "currency",
    "coverage",
    "conflict",
    "attestation",
    "finish"
  ],
  "freeze": "Local, inspectable pre-scoring hash receipt, not independent preregistration or tamper-proof proof. All input labels are synthetic and authored before training.",
  "initial": "64 exploratory feedback records per fold; 32 untouched exploratory and 32 untouched decision records evaluated.",
  "mechanism": "ID3-inspired full-data, unpruned categorical tree: maximum information gain; stop at a pure node, no attributes, or gain <= 1e-12. Equal gain: fixed feature order. Majority ties: ask, reject, accept. Unseen category: node majority. No LLM, embedding, weights update, or rationale parsing.",
  "metrics": [
    "exact three-way accuracy",
    "macro class recall",
    "false accepts: accepts when standard asks or rejects",
    "adequate cases retained",
    "accept precision",
    "full confusion matrix"
  ],
  "question": "What transfers when an explicit feedback learner learns review labels, then the use or reviewer standard changes?",
  "reporting": "Report every condition, all three folds and pooled counts. No significance tests or population confidence intervals: this is complete finite-world cross-fitting, not sampled human evidence. Show case-level failures. Do not choose a favourable fold as headline.",
  "retrieval": "Nearest-history comparator: unweighted categorical Hamming distance over exactly the same seven fields. All nearest ties vote; label ties ask, reject, accept. Identical feedback access. This is not semantic retrieval or an LLM history baseline.",
  "split": "Three deterministic, grouped folds. All finishes and uses of a substantive bundle stay in one fold. Each case is held out once. No tuning fold or hyperparameter search.",
  "taste": "Train initial tree and retrieval on the same records but explicitly biased simulated reviewer labels. On untouched exploratory cases score both reviewer imitation and declared adequacy.",
  "tie_order": [
    "ask",
    "reject",
    "accept"
  ],
  "title": "238 / A review desk / first essai",
  "version": "1.0",
  "world": "192 synthetic cases: all 96 feature bundles (including finish) under two uses. No private cases or human outcomes."
}