Align behavioral event annotation protocol

docs/easycom_event_review_tool.md

@@ -24,8 +24,8 @@ python3 prepare_easycom_eot_int_review.py \
 
 The generator emits two independent files:
 
-- `easycom_eot_int_candidates.jsonl` contains EOT opportunities that pair a
-  non-wearer release with a later floor-level wearer `0->1` behavior anchor
+- `easycom_eot_int_candidates.jsonl` contains floor-level wearer `0->1`
+  behavior anchors retrospectively paired with a preceding non-wearer release
   (`WEARER_ONSET`, `EOT_OPPORTUNITY_CANDIDATE`), only episode-ending wearer
   `1->0` boundaries where a new non-wearer onset satisfies
   `wearer_floor_start < other_onset < wearer_offset` and the same activity
@@ -49,9 +49,10 @@ continues across the resumed onset conservatively preserves a new wearer-entry
 candidate. Every decision is stored in `temporal_evidence`, including the raw
 gap, feedback IDs, competing IDs, threshold, and `floor_episode_merged` flag.
 
-After each non-wearer release, EOT construction scans forward until a
-floor-level wearer onset or a competing non-wearer onset. Silence length alone
-does not invalidate the opportunity. Each primary EOT candidate stores both
+For each floor-level wearer onset, EOT construction searches backward for the
+most recent non-wearer release and rejects the pair if wearer speech or a
+competing non-wearer onset intervenes. Silence length alone does not invalidate
+the opportunity. Each primary EOT candidate stores both
 `opportunity_anchor_seconds` and `behavior_anchor_seconds`, plus their response
 delay.