feat(iace): risk as confidence range + label in benchmark tab
Report the tool's risk number as a plausible range with a confidence label instead of a false-precision point value (confidence-aware tonality — the assessment is confirmed by the DSB / safety expert). - risk_estimation.go: EstimateConfidence (hoch/mittel/niedrig from how the contact mode resolved), EstimateRiskRange (S±1 and aggregate L=F+W+P ±1, the empirically validated per-parameter accuracy), RiskLevelRange; share the riskBandLabel thresholds with EstimateRiskLevel. - risk_benchmark.go: RiskComparisonPair gains eng_risk_point/low/high + level + level_range + confidence; RiskAgreement gains high_confidence_pct. - RiskComparison.tsx: per-hazard range "low–high (level range)" + point, confidence chip, and an aggregate confidence line; types in useBenchmark.ts. - Unit tests for the range/confidence helpers. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Benjamin Admin
+58
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@@ -17,6 +17,13 @@ function ampelBand(band: string): Ampel {
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return 'green'
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}
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// Tool confidence (how well-anchored the estimate is) → chip color.
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function ampelConfidence(c: string): Ampel {
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if (c === 'hoch') return 'green'
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if (c === 'mittel') return 'yellow'
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return 'red'
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}
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const cellColor: Record<Ampel, string> = {
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red: 'bg-red-100 text-red-700 dark:bg-red-900/40 dark:text-red-300',
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yellow: 'bg-yellow-100 text-yellow-700 dark:bg-yellow-900/40 dark:text-yellow-300',
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@@ -47,18 +54,28 @@ export function RiskComparison({ pairs, agreement }: { pairs?: RiskComparisonPai
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<div>
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<h3 className="text-sm font-semibold text-gray-700 dark:text-gray-300">Risikozahlen-Vergleich (Fachmann vs. Tool)</h3>
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<p className="text-xs text-gray-500 mt-0.5">
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R = S × (F + W + P), Ampel wie in der Excel. Fine-Kinney (P×E×C) als zweite, US-anerkannte Bewertung.
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R = S × (F + W + P), Ampel wie in der Excel. Das Tool nennt einen <strong>Schätzbereich</strong>{' '}
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(nicht einen exakten Punktwert) plus Konfidenz — die endgültige Bewertung trifft der/die Sachverständige.
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Fine-Kinney (P×E×C) als zweite, US-anerkannte Bewertung.
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</p>
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</div>
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{agreement && agreement.n > 0 && (
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<div className="grid grid-cols-2 md:grid-cols-5 gap-3">
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<Stat label="Schwere S ±1" pct={agreement.severity_within1} />
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<Stat label="Haeufigkeit F ±1" pct={agreement.frequency_within1} />
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<Stat label="Wahrsch. W ±1" pct={agreement.probability_within1} />
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<Stat label="Vermeidb. P ±1" pct={agreement.avoidance_within1} />
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<Stat label="Ranking (FK)" pct={agreement.rank_concordance} />
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</div>
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<>
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<div className="grid grid-cols-2 md:grid-cols-5 gap-3">
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<Stat label="Schwere S ±1" pct={agreement.severity_within1} />
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<Stat label="Haeufigkeit F ±1" pct={agreement.frequency_within1} />
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<Stat label="Wahrsch. W ±1" pct={agreement.probability_within1} />
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<Stat label="Vermeidb. P ±1" pct={agreement.avoidance_within1} />
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<Stat label="Ranking (FK)" pct={agreement.rank_concordance} />
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</div>
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{typeof agreement.high_confidence_pct === 'number' && (
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<p className="text-xs text-gray-500">
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Tool-Konfidenz: <strong>{Math.round(agreement.high_confidence_pct)}%</strong> der erkannten
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Gefaehrdungen mit hoher Konfidenz (Verletzungsmechanismus eindeutig aus dem Szenario ableitbar).
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</p>
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)}
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</>
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)}
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<div className="overflow-x-auto">
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@@ -67,31 +84,42 @@ export function RiskComparison({ pairs, agreement }: { pairs?: RiskComparisonPai
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<tr className="text-gray-500 border-b border-gray-200 dark:border-gray-700">
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<th className="text-left py-1.5 px-2">Gefaehrdung</th>
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<th className="px-1 text-center" colSpan={5}>Fachmann · S F W P <strong>R</strong></th>
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<th className="px-1 text-center border-l border-gray-200 dark:border-gray-700" colSpan={5}>Tool · S F W P <strong>R</strong> / FK</th>
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<th className="px-1 text-center border-l border-gray-200 dark:border-gray-700" colSpan={4}>Tool · S F W P</th>
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<th className="px-1 text-center border-l border-gray-200 dark:border-gray-700">Risiko (Schätzbereich) / FK</th>
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<th className="px-1 text-center border-l border-gray-200 dark:border-gray-700">Konfidenz</th>
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</tr>
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</thead>
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<tbody>
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{pairs.map((p, i) => {
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const engR = p.eng_severity * (p.eng_frequency + p.eng_probability + p.eng_avoidance)
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return (
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<tr key={i} className="border-b border-gray-100 dark:border-gray-700/50">
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<td className="py-1 px-2 text-gray-700 dark:text-gray-300">{p.hazard_name || '—'}</td>
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<td className="text-center text-gray-500">{p.gt_severity}</td>
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<td className="text-center text-gray-500">{p.gt_frequency}</td>
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<td className="text-center text-gray-500">{p.gt_probability}</td>
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<td className="text-center text-gray-500">{p.gt_avoidance}</td>
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<td className={`text-center font-bold rounded ${cellColor[ampelEN(p.gt_risk)]}`}>{p.gt_risk}</td>
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<td className="text-center text-gray-500 border-l border-gray-200 dark:border-gray-700">{p.eng_severity}</td>
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<td className="text-center text-gray-500">{p.eng_frequency}</td>
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<td className="text-center text-gray-500">{p.eng_probability}</td>
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<td className="text-center text-gray-500">{p.eng_avoidance}</td>
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<td className="text-center">
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<span className={`inline-block font-bold rounded px-1.5 ${cellColor[ampelEN(engR)]}`}>{engR}</span>
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<span className={`ml-1 inline-block rounded px-1 ${cellColor[ampelBand(p.fk_band)]}`} title={`Fine-Kinney ${p.fk_band}`}>FK {Math.round(p.fk_score)}</span>
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</td>
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</tr>
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)
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})}
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{pairs.map((p, i) => (
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<tr key={i} className="border-b border-gray-100 dark:border-gray-700/50">
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<td className="py-1 px-2 text-gray-700 dark:text-gray-300">{p.hazard_name || '—'}</td>
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<td className="text-center text-gray-500">{p.gt_severity}</td>
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<td className="text-center text-gray-500">{p.gt_frequency}</td>
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<td className="text-center text-gray-500">{p.gt_probability}</td>
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<td className="text-center text-gray-500">{p.gt_avoidance}</td>
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<td className={`text-center font-bold rounded ${cellColor[ampelEN(p.gt_risk)]}`}>{p.gt_risk}</td>
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<td className="text-center text-gray-500 border-l border-gray-200 dark:border-gray-700">{p.eng_severity}</td>
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<td className="text-center text-gray-500">{p.eng_frequency}</td>
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<td className="text-center text-gray-500">{p.eng_probability}</td>
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<td className="text-center text-gray-500">{p.eng_avoidance}</td>
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<td className="text-center border-l border-gray-200 dark:border-gray-700 whitespace-nowrap">
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<span
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className={`inline-block font-bold rounded px-1.5 ${cellColor[ampelEN(p.eng_risk_point)]}`}
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title={`Schätzbereich R ${p.eng_risk_low}–${p.eng_risk_high} (${p.eng_risk_level_range})`}
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>
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{p.eng_risk_low}–{p.eng_risk_high}
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</span>
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<span className="ml-1 text-[10px] text-gray-400">≈{p.eng_risk_point}</span>
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<span className={`ml-1 inline-block rounded px-1 ${cellColor[ampelBand(p.fk_band)]}`} title={`Fine-Kinney ${p.fk_band}`}>FK {Math.round(p.fk_score)}</span>
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<div className="text-[9px] text-gray-400 mt-0.5">{p.eng_risk_level_range}</div>
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</td>
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<td className="text-center border-l border-gray-200 dark:border-gray-700">
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<span className={`inline-block rounded px-1.5 py-0.5 text-[10px] font-medium ${cellColor[ampelConfidence(p.confidence)]}`}>
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{p.confidence}
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</span>
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</td>
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</tr>
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))}
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</tbody>
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</table>
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</div>
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@@ -53,6 +53,9 @@ export interface RiskComparisonPair {
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gt_severity: number; gt_frequency: number; gt_probability: number; gt_avoidance: number; gt_risk: number
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eng_severity: number; eng_frequency: number; eng_probability: number; eng_avoidance: number
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fk_score: number; fk_band: string
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eng_risk_point: number; eng_risk_low: number; eng_risk_high: number
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eng_risk_level: string; eng_risk_level_range: string
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confidence: string // hoch | mittel | niedrig
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}
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export interface RiskAgreement {
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@@ -60,6 +63,7 @@ export interface RiskAgreement {
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severity_within1: number; frequency_within1: number
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probability_within1: number; avoidance_within1: number
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rank_concordance: number
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high_confidence_pct: number
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}
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export interface BenchmarkResult {
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