fix(web): count only training events for discrimination and split user-stop from validated range

Three collected events with a reserved holdout were stalling because the discriminator door counted holdout. Public selection_allowed still had snapshot fallbacks, and health only proved the image SHA.

Co-authored-by: Cursor <cursoragent@cursor.com>

scripts/rectification/candidate_contrast.py

@@ -77,8 +77,22 @@ def scoreable_event_stats(events: Sequence[dict[str, Any]] | None) -> tuple[int,
     return len(scoreable), len(domains), domains
 
 
+def training_scoreable_stats(events: Sequence[dict[str, Any]] | None) -> tuple[int, int, frozenset[str]]:
+    from scripts.rectification.case_holdout import holdout_event_ids
+
+    holdout = holdout_event_ids(events)
+    training = [
+        event for event in (events or [])
+        if isinstance(event, dict)
+        and is_primary_scoreable_dict(event)
+        and str(event.get("id") or "") not in holdout
+    ]
+    domains = frozenset(str(event["domain"]) for event in training)
+    return len(training), len(domains), domains
+
+
 def discriminator_gate_open(events: Sequence[dict[str, Any]] | None) -> bool:
-    count, domain_count, _ = scoreable_event_stats(events)
+    count, domain_count, _ = training_scoreable_stats(events)
     return count >= MIN_DISCRIMINATOR_EVENTS and domain_count >= MIN_DISCRIMINATOR_DOMAINS