4 Commits

Author	SHA1	Message	Date
Benjamin Admin	c4d9b1426f	fix(iace): lower EstimateFrequency tiers — engine F was ~1 too high vs the GT ... Diagnosis: engine F mean 3.56 vs professional 2.56; the dominant disagreement was normal-operation hazards getting F=4 where the professional assigned 2. Lowered the lifecycle→F mapping (normal operation 4→3, occasional phases 3→2). New TestGT_RiskComparison_CrossGT runs the exact production comparison on BOTH GTs: F within±1 rose to 95% (robot cell) and 94% (lift) — generic, not lift-tuned. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-09 19:02:18 +02:00
Benjamin Admin	0bf9c54d27	feat(iace): add Fine-Kinney risk model (citable, free, US-recognized) ... Fine-Kinney (Fine 1971 / Kinney-Wiruth 1976): Risk = Probability x Exposure x Consequence — a PUBLISHED, freely-usable method (not a DIN/Beuth/ISO standard), widely used incl. CE-marking. Gives the professional a second, US-recognized model alongside the EN-62061-style one; German exporters get both for free and adjust with their own licensed norm data. risk_fine_kinney.go: SuggestFineKinney derives justified P/E/C from public anchors (ESAW frequency -> P, lifecycle -> E, de-biased severity -> C on the Fine-Kinney consequence scale) + ComputeFineKinney(p,e,c) so the professional can override with his own values. No norm table stored. GT benchmark (rank concordance vs the professional): Fine-Kinney 75.4% — beats the EN-62061-style model (69.3%) and the raw engine (57%). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-09 15:22:44 +02:00
Benjamin Admin	a910793d12	feat(iace): de-bias severity estimate; risk ranking 57%->69% vs Fachmann ... The engine's hand-set DefaultSeverity systematically over-estimates severity (GT shows crushing 3.3 vs 2.2, struck_by 3.1 vs 2.5; electrical was already close). EstimateSeverity blends the pattern default 50/50 with the contact mode's GT-calibrated typical severity (baseS) — keeps pattern-specific signal, removes the bias. Our own model, no norm table. Effect across both GTs: severity within +-1 78%->88%; risk RANK concordance 57%->69% (Kistenhub 45%->70%). Wired into iace_handler_init.go so the BreakPilot risk line uses the de-biased severity. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-09 13:52:19 +02:00
Benjamin Admin	02a31b711c	fix(iace): remove EN ISO 13849-1 risk-graph reproduction; own risk model ... IP/copyright fix: ComputePLr reproduced the EN ISO 13849-1 Anhang A risk-graph decision table (S/F/P -> PLr a..e) and SeverityToS/ExposureToF its parameter binning, emitted into every hazard description. Removed — we may not reproduce DIN/Beuth norm logic. Replaced with BreakPilot's OWN risk model: - risk_estimation.go: probability (W) + avoidance (P) estimated from public, permissively-licensed accident statistics (Eurostat ESAW, CC BY 4.0) by contact mode, calibrated to our ground-truth corpus; own risk index + bands. - iace_handler_init.go now emits "Risikoeinschaetzung (BreakPilot-Modell): S F W P -> Risiko: <level>" instead of the norm PLr string. - DATA_SOURCES.md: data provenance + license register (ESAW CC BY 4.0; BLS/OSHA public domain; HSE OGL; DGUV + DIN/Beuth explicitly excluded). - gt_risk_benchmark_test.go: first GT validation of risk numbers — W within +-1 99%, P 93% vs the professional across both ground truths. Removed risk_graph_test.go (pinned the reproduced norm table). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-09 13:10:53 +02:00