feat(control-station): review native raw fisheye risk cases
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DCCONSTRUCTIONS
@@ -4,7 +4,11 @@ import {
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LaboratorySummary,
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LaboratoryWorkTemplate,
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} from "../../components/laboratory/LaboratoryPresentation";
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import type { M48TRiskQualityResult } from "../../core/laboratory/m48tRiskQuality";
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import type {
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M48QNativeRiskQualityResult,
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M48TLegacyRiskQualityResult,
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M48TRiskQualityResult,
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} from "../../core/laboratory/m48tRiskQuality";
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import { M48TRiskQualityVisual } from "./M48TRiskQualityVisual";
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function percent(value: number, digits = 1): string {
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@@ -21,6 +25,19 @@ export function M48TRiskQualityResultView({
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}: {
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rigLabel: string;
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result: M48TRiskQualityResult;
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}) {
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if (result.variant === "native-risk-review") {
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return <M48QNativeRiskQualityResultView rigLabel={rigLabel} result={result} />;
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}
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return <M48TLegacyRiskQualityResultView rigLabel={rigLabel} result={result} />;
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}
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function M48TLegacyRiskQualityResultView({
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rigLabel,
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result,
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}: {
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rigLabel: string;
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result: M48TLegacyRiskQualityResult;
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}) {
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return (
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<LaboratoryWorkTemplate
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@@ -77,3 +94,69 @@ export function M48TRiskQualityResultView({
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/>
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);
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}
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function M48QNativeRiskQualityResultView({
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rigLabel,
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result,
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}: {
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rigLabel: string;
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result: M48QNativeRiskQualityResult;
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}) {
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const classes = Object.entries(result.selection.classCounts)
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.map(([name, count]) => `${name} ${count}`)
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.join(" · ");
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return (
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<LaboratoryWorkTemplate
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summary={(
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<LaboratorySummary
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title="M4.8Q · native raw-fisheye risk review"
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description="Нативный RF-DETR прогнан внутри полного reference graph прямо на исходном KB4 raster 800×600: без rectification, warp, resize и обратного преобразования. Из immutable frame ledger детерминированно отобраны реальные risk-кейсы для операторской проверки в существующем M4.8 image-case instrument."
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status="Runtime принят · 24 native cases готовы · quality ещё не adjudicated"
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statusTone="success"
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facts={[
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{ label: "Source", value: `${rigLabel} · ${result.source.frameCount.toLocaleString("ru-RU")} raw frames · 800×600` },
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{ label: "Candidate", value: `${result.candidate.modelId} · score ≥ ${decimal(result.candidate.minimumScore, 2)}` },
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{ label: "Image path", value: "RAW KB4 → fused GPU graph · geometric resampling NO" },
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{ label: "Authority", value: "SHADOW ONLY · independent quality NO · production NO" },
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]}
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brief={{
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question: "Работает ли нативная risk-классификация на нашей исходной fisheye-картинке в realtime envelope, и какие реальные кадры надо проверить человеком?",
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approach: `Полный ${result.source.frameCount.toLocaleString("ru-RU")}-кадровый native graph оставлен неизменным. Повторной инференс-сессии для лабы нет: 24 кадра выбраны из его hash-bound ledger по person, animal, light-road-user, vehicle, low-confidence, fisheye-edge и расхождениям с диагностической legacy 704 веткой.`,
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principalResult: `${decimal(result.execution.effectiveWorldStateFps, 3)} FPS при detector p95 ${decimal(result.execution.detectorTotalP95Ms, 2)} ms и world-state p95 ${decimal(result.execution.worldStateCompletionP95Ms, 2)} ms. В review pack реально попали ${classes}.`,
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limitation: "Это диагностическая выборка маршрута без независимой разметки. Наличие бокса и класса можно осмотреть, но precision/recall и корректность каждого класса этой фазой ещё не доказаны.",
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}}
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method={result.method}
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/>
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)}
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evidence={(
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<LaboratoryEvidence
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eyebrow="M4.8Q VISUAL EVIDENCE · NATIVE RAW KB4"
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title="24 исходных fisheye-кадра с отключаемым client-side overlay"
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kind="diagnostic-model"
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resizable
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>
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<M48TRiskQualityVisual result={result} />
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</LaboratoryEvidence>
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)}
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result={(
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<LaboratoryResultSummary
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title="Native runtime закрыт; следующий честный шаг — adjudication этих кейсов"
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status="Review-ready · quality-not-adjudicated"
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statusTone="success"
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metrics={[
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{ label: "Full graph", value: `${decimal(result.execution.effectiveWorldStateFps, 3)} FPS`, hint: `delivery ${percent(result.runtime.deliveryRatio, 2)} · 4 489/4 489` },
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{ label: "Detector / world-state p95", value: `${decimal(result.execution.detectorTotalP95Ms, 2)} / ${decimal(result.execution.worldStateCompletionP95Ms, 2)} ms`, hint: "один native pass · additional inference 0" },
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{ label: "GPU / VRAM peak", value: `${decimal(result.execution.gpuUtilizationP95Percent, 1)}% / ${decimal(result.execution.gpuMemoryMaximumMib / 1024, 2)} GiB`, hint: "Worker 006 · RTX 4090 envelope" },
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{ label: "Native parity", value: `${percent(result.parity.precision, 2)} / ${percent(result.parity.recall, 2)}`, hint: `precision / recall · mean IoU ${percent(result.parity.meanIou, 2)}` },
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{ label: "Review pack", value: `${result.selection.caseCount}/24 cases`, hint: "8 diagnostic buckets · raw 800×600" },
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]}
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conclusion={{
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proved: `Полный reference graph доставил все ${result.source.frameCount.toLocaleString("ru-RU")} world states на ${decimal(result.execution.effectiveWorldStateFps, 3)} FPS. Детектор использовал ровно один native 800×600 KB4 pass без геометрического resampling. Hash-bound review содержит person, dog, bicycle, skateboard, car и truck; боксы рисуются поверх чистого кадра и отключаются кнопкой.`,
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notProved: "Не доказаны route-domain precision/recall, истинность 24 классов и боксов, child/adult, поведение объектов, физическая track identity и безопасность навигации. Legacy 704 count delta остаётся только диагностикой, потому что старая ветка растягивала 4:3 raster.",
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decision: "Не добавлять второй detector и не менять realtime graph. Использовать эти 24 кейса как вход существующего M4.8 review/correction workflow; только после независимой adjudication считать route-domain semantic quality.",
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}}
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/>
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)}
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/>
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);
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}
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@@ -1,18 +1,35 @@
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import { useState } from "react";
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import { useMemo, useState } from "react";
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import { Icon, IconButton } from "@nodedc/ui-react";
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import { LaboratoryEvidenceViewer } from "../../components/laboratory/LaboratoryEvidenceViewer";
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import type { M48TRiskQualityResult } from "../../core/laboratory/m48tRiskQuality";
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import { RecordedEvidenceImageScene } from "../../components/laboratory/RecordedEvidenceImageScene";
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import type {
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RecordedEvidenceBox,
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RecordedEvidenceBoxTone,
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} from "../../components/laboratory/RecordedEvidenceBoxOverlay";
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import type {
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M48QNativeRiskQualityResult,
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M48QRiskFamily,
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M48TLegacyRiskQualityResult,
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M48TRiskQualityResult,
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} from "../../core/laboratory/m48tRiskQuality";
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export function M48TRiskQualityVisual({ result }: { result: M48TRiskQualityResult }) {
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function navigateIndex(current: number, offset: -1 | 1, length: number): number {
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return (current + offset + length) % length;
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}
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function familyTone(family: M48QRiskFamily): RecordedEvidenceBoxTone {
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if (family === "person" || family === "animal") return "danger";
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if (family === "light-road-user") return "warning";
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return "accent";
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}
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function LegacyVisual({ result }: { result: M48TLegacyRiskQualityResult }) {
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const [index, setIndex] = useState(0);
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const [expanded, setExpanded] = useState(false);
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const item = result.review.cases[index] ?? null;
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const navigate = (offset: -1 | 1) => {
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setIndex((current) => (
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current + offset + result.review.cases.length
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) % result.review.cases.length);
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};
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const navigate = (offset: -1 | 1) =>
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setIndex((current) => navigateIndex(current, offset, result.review.cases.length));
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return (
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<div className="l3-visual-audit">
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@@ -61,3 +78,85 @@ export function M48TRiskQualityVisual({ result }: { result: M48TRiskQualityResul
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</div>
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);
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}
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function NativeVisual({ result }: { result: M48QNativeRiskQualityResult }) {
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const [index, setIndex] = useState(0);
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const [expanded, setExpanded] = useState(false);
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const [boxesVisible, setBoxesVisible] = useState(true);
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const item = result.review.cases[index] ?? null;
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const boxes = useMemo<readonly RecordedEvidenceBox[]>(() => {
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if (!item || !boxesVisible) return [];
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return item.proposals.map((proposal) => ({
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boxXyxy: proposal.boxXyxy,
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label: `${proposal.className} · ${proposal.score.toFixed(2)}`,
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tone: familyTone(proposal.riskFamily),
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}));
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}, [boxesVisible, item]);
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const navigate = (offset: -1 | 1) =>
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setIndex((current) => navigateIndex(current, offset, result.review.cases.length));
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return (
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<div className="l3-visual-audit">
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<LaboratoryEvidenceViewer
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label="M4.8Q native raw-fisheye risk review"
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mode="native"
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modes={[{ value: "native", label: "NATIVE RF-DETR" }]}
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expanded={expanded}
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onModeChange={() => undefined}
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onExpandedChange={setExpanded}
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actions={(
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<div className="l3-visual-audit__pagination">
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<IconButton label="Предыдущий M4.8Q review case" onClick={() => navigate(-1)}>
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<Icon name="chevron-left" size={16} />
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</IconButton>
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<IconButton label="Следующий M4.8Q review case" onClick={() => navigate(1)}>
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<Icon name="chevron-right" size={16} />
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</IconButton>
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</div>
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)}
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trailingActions={(
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<IconButton
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label={boxesVisible ? "Скрыть native RF-DETR боксы" : "Показать native RF-DETR боксы"}
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onClick={() => setBoxesVisible((visible) => !visible)}
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>
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<Icon name={boxesVisible ? "eye-off" : "eye"} size={16} />
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</IconButton>
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)}
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overlay={item ? (
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<div className="l3-visual-audit__overlay">
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<div>
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<span>RAVNOVES00 · raw KB4 800×600 · resampling NO</span>
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<strong>
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case {index + 1}/{result.review.cases.length} · frame {item.sequence} · {item.proposals.length} native boxes
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</strong>
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<small>
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{item.selectionBuckets.join(" · ")} · native/legacy {item.nativeDetectionCount}/{item.legacyDetectionCount} (diagnostic only)
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</small>
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</div>
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</div>
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) : null}
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>
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{item ? (
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<RecordedEvidenceImageScene
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src={item.imageUrl}
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imageWidth={item.width}
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imageHeight={item.height}
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boxes={boxes}
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ariaLabel={`M4.8Q frame ${item.sequence}: ${boxes.length} visible native risk boxes`}
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/>
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) : (
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<div className="l3-visual-audit__state" role="alert">
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<Icon name="alert" size={18} />
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M4.8Q native visual evidence недоступно.
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</div>
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)}
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</LaboratoryEvidenceViewer>
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</div>
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);
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}
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export function M48TRiskQualityVisual({ result }: { result: M48TRiskQualityResult }) {
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return result.variant === "native-risk-review"
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? <NativeVisual result={result} />
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: <LegacyVisual result={result} />;
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}
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@@ -86,10 +86,10 @@ const KNOWN_WORKS: Readonly<Record<Exclude<LaboratoryWorkId, `session:${string}`
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},
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"m48t-risk-quality-temporal": {
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profileId: "rig-ravnoves-perception-gate-v1",
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profileName: (rigLabel) => `${rig(rigLabel)} RIGHT · COCO quality + bounded temporal identity`,
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profileName: (rigLabel) => `${rig(rigLabel)} RIGHT · Native raw-fisheye perception gate`,
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experimentId: "m48t-risk-quality-temporal",
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experimentName: "RF-DETR independent semantic quality and temporal identity",
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variantName: "M4.8T · COCO val2017 truth + RAVNOVES00 temporal shadow",
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experimentName: "RF-DETR native risk review and temporal identity",
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variantName: "M4.8Q · native raw KB4 review · quality not adjudicated",
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},
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"m47-reference-graph-shadow": {
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profileId: "rig-dual-evidence-virtual-corridor-v1",
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