{
  "architecture": "GateMLP",
  "task": "advisory-lambda-gate-decision-surrogate",
  "framework": "pytorch",
  "input_dim": 13,
  "input_axes": [
    "moralGrounding",
    "measurabilityHonesty",
    "empiricalGrounding",
    "logicalConsistency",
    "sourceTransparency",
    "reproducibility",
    "licenseHygiene",
    "scopeDiscipline",
    "claimCalibration",
    "evalAwareness",
    "deceptionKeywords",
    "conflictingDirectives",
    "reversalDirective"
  ],
  "hidden": 64,
  "layers": [
    "Linear(13,64)",
    "ReLU",
    "Linear(64,64)",
    "ReLU",
    "Linear(64,64)",
    "ReLU",
    "Linear(64,1)"
  ],
  "output": "logit; sigmoid>=0.5 => predicted gate PASS (\u039b>=threshold)",
  "threshold": 0.5,
  "weights": "yuyay uniform 1/13",
  "label_source": "szl_lambda_gate.lambda_gate(axes, weights=yuyay, threshold=0.5).passed",
  "honesty": "predicts the ADVISORY gate DECISION only; \u039b is NOT proven trust; uniqueness = Conjecture 1 (open)"
}