{ "schemaVersion": 1, "completedResearchRounds": 60, "requestedCoreRounds": 20, "seed": 20260827, "data": { "baseTrainingRecords": 11500, "reachableLicensedOpenRecords": 3845, "holdoutOverlapCounts": { "comprehensiveOnline": 0, "random": 0, "targetedRelease": 0 }, "unavailableSources": [ "MASSIVE", "CLINC150", "CFPB" ] }, "phases": [ { "name": "shared-configuration-search", "rounds": 20, "selectedRound": 1, "golden": { "macroPrecision": 0.9366, "macroRecall": 0.6801, "macroF1": 0.7711 }, "randomHoldout": { "macroPrecision": 0.8569, "macroRecall": 0.4603, "macroF1": 0.5709 }, "researchOnlyComprehensive": { "macroPrecision": 0.4398, "macroRecall": 0.2161, "macroF1": 0.2383 }, "targetedRelease": { "macroPrecision": 0.5489, "macroRecall": 0.3139, "macroF1": 0.3899 } }, { "name": "per-intent-fine-tuning", "rounds": 20, "selectedRoundsByIntent": { "blessing": 19, "complaint": 1, "confirmationDecision": 3, "followUpReminder": 1, "invitation": 1, "question": 1, "replyableMessage": 1, "scheduleNegotiation": 7, "task": 15 }, "golden": { "macroPrecision": 0.9377, "macroRecall": 0.6819, "macroF1": 0.7666 }, "randomHoldout": { "macroPrecision": 0.8701, "macroRecall": 0.4705, "macroF1": 0.5770 }, "researchOnlyComprehensive": { "macroPrecision": 0.4292, "macroRecall": 0.2250, "macroF1": 0.2645 }, "targetedRelease": { "macroPrecision": 0.5467, "macroRecall": 0.3375, "macroF1": 0.4095 } }, { "name": "explicit-evidence-fine-tuning", "rounds": 20, "selectedRound": 1, "golden": { "macroPrecision": 0.9877, "macroRecall": 0.4354, "macroF1": 0.5476 }, "randomHoldout": { "macroPrecision": 0.7731, "macroRecall": 0.3029, "macroF1": 0.3905 }, "researchOnlyComprehensive": { "macroPrecision": 0.6097, "macroRecall": 0.1647, "macroF1": 0.2325 }, "targetedRelease": { "macroPrecision": 0.5489, "macroRecall": 0.2537, "macroF1": 0.3209 } } ], "currentDeployedReference": { "randomHoldout": { "macroPrecision": 0.9832, "macroRecall": 0.6557, "macroF1": 0.7669 }, "researchOnlyComprehensive": { "macroPrecision": 0.2948, "macroRecall": 0.3320, "macroF1": 0.2783 } }, "findings": [ "The first low-complexity round generalized better than later self-training rounds.", "Three-round high-confidence pseudo-labeling amplified source and template bias instead of improving frozen regressions.", "Per-intent configuration selection improved the research-only comprehensive F1 from 0.2383 to 0.2645 but remained below the deployed reference F1 of 0.2783.", "Explicit evidence gates raised golden precision to 0.9877 and research-only precision to 0.6097, but recall collapsed and the release gate still failed.", "No surrogate candidate is eligible to replace or augment the deployed Apple models." ], "releaseGatePassed": false, "deploymentDecision": "retain-current-deployed-models", "platformLimitation": "Linux cannot train, compile, run, or benchmark the deployable Apple Create ML models. These rounds are surrogate research and produce a macOS replay specification, not app-ready model assets." }