covtoken / gate_reports /gate_2_block3.json
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covtoken: label-free lesion-subspace token economy (reframed) + gated eval + paper draft
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{
"gate": 2,
"phase": "Phase 1b - Probe faithfulness [block-3 operating layer]",
"status": "BORDERLINE",
"status_detail": "Strict rule (rho>=0.5) NOT met: best rho=0.48 < 0.50 [CALIBRATE]. Per spec, borderline = FAIL pending more data / threshold calibration. Faithfulness signal is real (p~0, monotone) but sub-threshold.",
"metrics": [
{
"name": "spearman_coverage_drop_vs_detection_drop_rankme",
"modality": "LIDC-IDRI(test)", "budget": null,
"value": 0.480, "ci95": null, "test": "Spearman_pooled_per_slice_ratio (n=6788)",
"threshold": 0.50, "threshold_status": "CALIBRATE",
"passed": false,
"detail": "RankMe coverage. rho=0.480, p~0. Monotone across ratios. Just below 0.50."
},
{
"name": "spearman_coverage_drop_vs_detection_drop_coding_rate",
"modality": "LIDC-IDRI(test)", "budget": null,
"value": 0.478, "ci95": null, "test": "Spearman_pooled_per_slice_ratio (n=6788)",
"threshold": 0.50, "threshold_status": "CALIBRATE",
"passed": false,
"detail": "Coding-rate surrogate (the spec's RankMe fallback). rho=0.478, p~0. Also sub-threshold; both coverage forms agree."
},
{
"name": "monotonicity_across_ratios",
"modality": "LIDC-IDRI(test)", "budget": null,
"value": 1.0, "ci95": null, "test": "per-ratio means increasing",
"threshold": 1.0, "threshold_status": "FIXED", "passed": true,
"detail": "sens_drop {0.087,0.184,0.391,0.586} and delta_C both monotone increasing across prune ratios {0.1,0.25,0.5,0.75}."
}
],
"thresholds_locked_ref": null,
"seeds": [0],
"data_gaps": [],
"eval_summary": {
"modality": "LIDC-IDRI", "probe": "logistic regression on block-3 patch tokens, trained on val (294k patches, 2813 lesion), EVAL-ONLY",
"eval_split": "test", "pruning": "random subsets at ratios {0.1,0.25,0.5,0.75}, 2 draws/slice",
"detection_metric": "full-denominator lesion-patch sensitivity (a pruned-away lesion patch counts as a miss)",
"per_ratio_sens_drop": {"0.1": 0.087, "0.25": 0.184, "0.5": 0.391, "0.75": 0.586},
"metrics_artifact": "processed/covtoken/gate2_metrics.json"
},
"decision_rule": "PASS iff best coverage rho>=0.5, p<0.05, monotone. Borderline (just under 0.5) = FAIL pending more data per IMPLEMENTATION_SPEC.",
"decision": "BORDERLINE / soft-FAIL. Coverage drop is a SIGNIFICANT, MONOTONE proxy for lesion-detection drop (rho~0.48, p~0, both RankMe and coding-rate), but the pooled correlation is fractionally below the 0.50 [CALIBRATE] convention. The threshold is a calibration constant, not a fixed decision constant; Phase 1b is where it would be set data-driven. Not overclaimed as PASS.",
"robustness_check": {
"energy_coverage_rho": 0.461,
"finding": "Tested a third coverage (energy = sum ||P_L z||^2, additive in tokens). ALL THREE coverages give rho ~0.46-0.48 (rankme 0.480, coding 0.478, energy 0.461). The ~0.48 ceiling is INVARIANT to the coverage definition, so it is NOT a rank-vs-energy aggregation artifact. Root cause is the RANDOM-pruning protocol: at a fixed ratio, whether the 1-3 lesion patches survive a random keep-set is nearly independent of total coverage lost, so within-ratio coupling is weak; the across-ratio relationship is perfectly monotone (p~0).",
"conclusion": "Coverage is moderately faithful and NOT blind to lesion loss (monotone, p~0, rho~0.48), robustly across coverage definitions, just under the arbitrary [CALIBRATE] 0.50 bar."
},
"options": [
"Calibrate the [CALIBRATE] 0.50 threshold in Phase 1b against the saliency/random baseline coupling (the spec's intended step); rho~0.48 may clear a properly-calibrated bar.",
"Report as a robust noted limitation: coverage is strongly faithful across pruning ratios (monotone) and moderately at the pooled (slice,ratio) level (rho~0.48), invariant to coverage form."
],
"human_signoff": null
}