docs: record live model review proof
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@@ -24,6 +24,9 @@
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trained, downloaded, activated or reconfigured.
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trained, downloaded, activated or reconfigured.
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- Clarified map quality output with strict match counts and the existing
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- Clarified map quality output with strict match counts and the existing
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diagnostic reference-envelope match, without changing canonical QA metrics.
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diagnostic reference-envelope match, without changing canonical QA metrics.
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- Live Mol proof measured 282 candidates, 209 strict matches, precision 74.1%,
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recall 68.5% and F1 71.2%; 212 diagnostic envelope matches made the remaining
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three possible box/footprint differences explicit.
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## Sprint 197 Measured detection accuracy and durable review (2026-07-15)
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## Sprint 197 Measured detection accuracy and durable review (2026-07-15)
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@@ -8227,6 +8227,22 @@ Known limitation:
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independently collected training-only AOIs and complete tile labels; holdout
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independently collected training-only AOIs and complete tile labels; holdout
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review evidence must not be recycled into training.
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review evidence must not be recycled into training.
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Live operational proof:
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- Deployed commits `919e102` and packaging fix `8758721` to the Tower
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all-in-one runtime. The container became healthy, PostGIS reported 3.6,
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Alembic remained at `202607150001`, and the frontend/API/icon proxy smoke
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passed.
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- Both review validators ran inside the rebuilt image against persistent
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operator data with `status=complete`: 5 confirmed model false positives and
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10 confirmed model false negatives, with zero unreviewed cards.
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- A new 15.31 ha browser-drawn Mol selection persisted 282 candidates and 209
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strict GRB matches. It measured precision `0.741`, recall `0.685`, F1 `0.712`,
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73 false positives and 96 false negatives. The diagnostic reference-envelope
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pass found 212 matches and only 3 possible box/footprint differences.
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- Browser checks at 1280x720 and 3440x1440 showed the strict and diagnostic
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values without horizontal overflow. The ultrawide map used about 2,408 px;
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the browser console contained no warnings or errors.
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Next:
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Next:
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- Collect a new training-only small-building/background evidence pack outside
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- Collect a new training-only small-building/background evidence pack outside
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all operational holdouts, then train an inactive candidate only if the pack
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all operational holdouts, then train an inactive candidate only if the pack
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