docs: record fail-closed accuracy challenger

scripts/README.md

@@ -624,10 +624,22 @@ Current Tower audit status:
   review contained no missing, invalid or low-variance selections. The trained
   `geointel-building-yolov8s-smallbld-minpx3-img640-ft30-pt` candidate passed
   seven positive-AOI and three pure-empty background gates at tile `512`,
-  overlap `64`, threshold `0.15` and QA match IoU `0.25`. Mean F1 is `0.5825`
-  and all pure-empty samples remain at zero detections. Persisted comparison
-  found 1,571 fewer false negatives than the previous balanced model, with a
-  lower mean precision and therefore a higher operator review load.
+  overlap `64`, threshold `0.15` and QA match IoU `0.25`. Original promotion
+  evidence measured mean F1 `0.5825`; the later coverage-aligned rerun measured
+  `0.6069`. All pure-empty samples remain at zero detections. The original
+  persisted comparison found 1,571 fewer false negatives than the previous
+  balanced model, with a lower mean precision and therefore a higher operator
+  review load.
+- `yolo-building-aoi1024-reviewedexp6-minpx3vis035`: leakage-free accuracy
+  expansion of the focused corpus with new training-only AOIs in Arendonk,
+  Dessel, Meerhout, Laakdal, Nijlen and Hulshout. The paged GRB preparation
+  added 9,964 reference features. The export retained 252 tiles (234 positive,
+  18 negative) and 79,192 labels; its configured audit and 64-tile visual
+  review found no invalid, missing or low-variance selections. The inactive
+  `geointel-building-yolov8s-reviewedexp6-minpx3-img640-ft20-pt` model improved
+  coverage-aligned seven-zone mean F1 from `0.6069` to `0.6248`, but its two
+  detections in empty Postel-bos failed the strict background gate. The active
+  focused model remains unchanged.
 
 Use `--samples` or `OPERATOR_YOLO_SAMPLES` to make an experimental corpus
 membership explicit. Dataset summaries preserve the complete manifest count,