{
  "kind": "structural_zero",
  "lane": "sample_efficiency",
  "metrics": {
    "mean_corrections_to_first_hit": null,
    "mean_corrections_to_saturation": null,
    "first_hit_rate": 0.0,
    "saturation_rate": 0.0,
    "mean_saturation_score": 0.0,
    "replay_determinism": 0.0,
    "overall_pass": false
  },
  "model_id": "frontier-structural-zero",
  "note": "Frontier LLMs do not emit the typed signals these sub-metrics score; see docs/frontier_baselines.md",
  "rationale": "replay_determinism requires identical trace_hash across fresh deterministic runs of the (k-corrections, probe) snapshot — frontier inference is stochastic. The corrections-to-competence curve is in principle scorable on free-text outputs, but the per-snapshot reproducibility that makes the curve meaningful (rather than noisy sampling) does not exist in frontier systems.",
  "timestamp": "2026-05-16T00:00:00+00:00",
  "version": "v1"
}
