docs(decision): record the far-unknown calibration and the gate status

The far-unknown claim in the verdict said 0.2-0.7% on 602 crops. That was the
audit's variant matcher on the add/ photos; the shipped lane at the shipped
lines was 3.61% on the Wikimedia sets. Both are now stated, with the sweep that
chose 4.0/4 and the live-endpoint result: 44 named, 42 correct, 95.5% precision
against 53/48/90.6% before.

Gate status is recorded per gate rather than as a blanket claim: G2 and G3's
far half pass offline, G8 passes, and G1/G4/G5/G6/G7 are not yet measured on
held-out data because Tier 2 does not exist.

The Wikimedia manifests and results are committed; the 59 MB of images are not,
because collect_shelf_images.py fetches them from the source URLs the manifests
record.

recognization/data/evaluations/2026-09-29-session/server-smoke/gate-summary.json

@@ -0,0 +1,24 @@
+{
+ "endpoint": "/v1/recognize",
+ "image": "add/image6.jpg",
+ "catalog": "stock-lopia-clean",
+ "gates": "LOCAL_ACCEPT=4.0 TEXT_MIN_SHARED=4",
+ "detections": 111,
+ "named": 44,
+ "matched": 44,
+ "correct": 42,
+ "wrong": 2,
+ "precision": 0.955,
+ "wrong_detail": [
+  "sku_l07 vs unknown",
+  "sku_l03 vs unknown"
+ ],
+ "previous": {
+  "gates": "2.0/2",
+  "named": 53,
+  "correct": 48,
+  "wrong": 5,
+  "precision": 0.906
+ },
+ "note": "Live still endpoint, box-IoU matched to the corrected labels. The stricter gates trade 9 names for 3 wrong labels."
+}