feat: add measured detection review loop
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@@ -46,6 +46,10 @@ This file now starts with the current implementation status. Older preparation/b
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- [x] Clip detection QA populations to persisted raster/tile coverage and add box-to-footprint matching diagnostics before reconsidering model training.
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- [x] Add a coverage-aware Mol multi-zone benchmark report with explicit positive-zone, per-zone collapse, reference-coverage and pure-empty background gates.
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- [x] Execute the refreshed coverage-aware Mol operational benchmark against the active local model and record the resulting retain/review decision.
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- [x] Align map-driven building QA with footprint IoU `0.25` and show measured candidate/match/error metrics instead of calling every detection a building.
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- [x] Persist paginated false-positive/false-negative operator decisions and expose them in the Quality workspace.
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- [x] Bound QA evidence resolution to persisted evidence ids instead of loading complete regional reference datasets.
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- [x] Compare confidence `0.10` and `0.15` over independent Mol holdouts; retain `0.15` because it wins F1 in every positive zone while both pass the empty-background control.
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- [ ] Complete manual decisions for the generated 48 false-negative and 48 false-positive review cards before constructing any new training corpus.
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- [x] Backend FastAPI foundation, health endpoint and service structure.
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- [x] React/TypeScript frontend foundation and MapLibre workbench.
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