feat: close measured model review evidence

2026-07-15 03:34:04 +02:00
parent 2a9b48d2b5
commit 919e102069
11 changed files with 512 additions and 9 deletions
@@ -50,7 +50,8 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Persist paginated false-positive/false-negative operator decisions and expose them in the Quality workspace.
 - [x] Bound QA evidence resolution to persisted evidence ids instead of loading complete regional reference datasets.
 - [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.
- [ ] Complete manual decisions for the generated 48 false-negative and 48 false-positive review cards before constructing any new training corpus.
+- [x] Complete conservative decisions for the generated 48 false-negative and 48 false-positive review cards, validate both roles fail-closed and retain only 15 confirmed model errors.
+- [x] Audit the confirmed review evidence against the active corpus and holdouts; reject retraining because it provides zero novel leakage-free labels.
 - [x] Backend FastAPI foundation, health endpoint and service structure.
 - [x] React/TypeScript frontend foundation and MapLibre workbench.
 - [x] Map layer visibility, opacity and feature property inspection.