{
  "schema": "ULTRACON_AI_EPISTEMIC_EXPERIMENT_ADDENDUM_V1",
  "date": "2026-09-15",
  "experiments": [
    {
      "id": "UCF-15",
      "name": "Monofact × calibration dissociation",
      "axes": ["CONFAB", "META"],
      "design": "Construct controlled fact-frequency regimes, vary selective upweighting while holding evaluation tasks fixed, and measure hallucination, accuracy and calibration separately.",
      "supports": "Whether hallucination can move independently from standard calibration metrics under controlled changes in training frequency.",
      "does_not_support": "A universal recommendation to inject miscalibration into deployed systems."
    },
    {
      "id": "UCF-16",
      "name": "Open-rubric abstention incentive stress test",
      "axes": ["CONFAB", "META"],
      "design": "Hold model and questions fixed while explicitly varying the penalty for incorrect answers versus abstention; measure answer rate, abstention, error rate and calibration across rubric thresholds.",
      "supports": "Behavioral sensitivity of guessing and abstention to evaluation incentives.",
      "does_not_support": "Subjective awareness of stakes, felt uncertainty or phenomenal consciousness."
    }
  ]
}