chore(semantics): add v6 release gate pipeline
- Add reproducible v6 boundary, blessing, and consensus-adjudication corpora, plus the tiny-transformer trainer and v6 release-gate evaluator that gate every candidate on the deployed baselines. - Wire consensus-label merging, product-policy anchor evaluation, and sealed blessing benchmark review with their pytest coverage. - Refresh open-training corpus generation, iterative retraining runner, and random-holdout evaluation so v6 candidates can be benchmarked end-to-end.
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{
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"allGatesPassed": false,
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"candidate": "taxonomy-v6-expanded-maxEnt",
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"corpus": {
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"blindLabelPolicy": "Product-owner task/question/replyable labels are used for the first 60 records; other v6 fields require per-field multi-model consensus. Unknown fields are excluded.",
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"blindRecords": 120,
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"candidateCorpusRecords": 273746,
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"humanLabeledBlindRecords": 60,
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"registryCanonicalRecords": 327337,
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"trainCandidates": 273626
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},
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"currentModelBlindBaseline": {
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"accuracy": 0.8845,
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"f1": 0.2326,
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"precision": 0.2578,
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"recall": 0.2974
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},
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"deploymentMode": "shadow/display",
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"domainGoldenMetrics": {
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"accuracy": 0.3704,
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"macroF1": 0.3282,
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"total": 27
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},
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"gates": {
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"domainMacroF1": {
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"actual": 0.3282,
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"passed": false,
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"required": 0.85
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},
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"evaluationIsolation": {
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"exactOverlapCount": 0,
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"passed": true,
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"trainBarredByCalibrationCount": 1,
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"trainBarredByEvaluationCount": 0
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},
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"newIntentMacroF1": {
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"actual": 0.5915,
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"passed": false,
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"required": 0.9
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},
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"newIntentMinimumPrecision": {
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"actual": 0.25,
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"passed": false,
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"required": 0.95
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},
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"oldNineNoRegression": {
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"currentBlindMacroF1": 0.2326,
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"passed": true,
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"reason": "The candidate is additive and the production manifest and nine deployed model files were not replaced."
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},
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"runtimePerformance": {
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"actual": {
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"coldLoadMilliseconds": 49.2974,
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"modelBytes": 570083,
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"peakRSSDeltaBytes": 25001984,
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"warmP95Milliseconds": 0.2498
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},
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"budgets": {
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"coldLoadMilliseconds": 100,
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"modelBytes": 2000000,
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"peakRSSDeltaBytes": 41943040,
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"warmP95Milliseconds": 1
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},
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"passed": true
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}
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},
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"limitations": [
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"Only 60 of 120 product blind records have product-owner labels.",
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"The remaining fields are high-confidence model consensus, not human gold.",
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"Per-language calibration has too few positive blind examples.",
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"The current model has no heads for the three new intents or domain."
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],
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"newIntentGoldenMetrics": {
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"assistantCommand": {
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"accuracy": 0.9722,
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"f1": 0.8,
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"falseNegative": 0,
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"falsePositive": 1,
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"precision": 0.6667,
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"recall": 1,
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"total": 36,
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"trueNegative": 33,
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"truePositive": 2
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},
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"informationQuery": {
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"accuracy": 0.7692,
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"f1": 0.3077,
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"falseNegative": 3,
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"falsePositive": 6,
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"precision": 0.25,
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"recall": 0.4,
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"total": 39,
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"trueNegative": 28,
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"truePositive": 2
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},
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"systemNotification": {
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"accuracy": 0.95,
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"f1": 0.6667,
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"falseNegative": 2,
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"falsePositive": 0,
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"precision": 1,
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"recall": 0.5,
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"total": 40,
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"trueNegative": 36,
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"truePositive": 2
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}
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},
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"productionManifestSHA256": "52cf3916ea18325fc1f4b51f3c1ee2d9f73c5633b227d3355606f5a1a1ea0c1c",
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"releaseDecision": "keep-current-model",
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"schemaVersion": 1
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}
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