Fix opportunity competing-risk evaluation

PROJECT_CONTEXT.md

@@ -54,19 +54,23 @@ result.
 - An opportunity-conditioned dense-output evaluator aligns ENTRY positives and
   core negatives at non-wearer releases, aligns INT positives and hold-floor
   negatives at competing non-wearer onsets, and applies strict competing-risk
-  censoring. It uses only the original wearer probabilities, excludes wearer
-  backchannels from headline ENTRY FPR, and records unanchored/ambiguous cases.
+  censoring. ENTRY positives whose selected release is followed by a competing
+  other onset or intervening wearer activity are excluded, and ambiguous
+  multi-competitor INT cases are not assigned an arbitrary onset. It uses only
+  the original wearer probabilities, excludes wearer backchannels from
+  headline ENTRY FPR, and records unanchored/ambiguous cases.
 
 ### Measured screening result
 
 - The released EgoSpeak MiniROADA A+V checkpoint on Sessions 1--3 obtains
   `74.124` 0.2-second mAP and `61.155` ten-horizon mean mAP. Raw wearer
   onset/offset anticipation is harder (`24.491/38.024` mean AP). On provisional
-  LLM-assisted matched opportunities, ENTRY AP is `52.487` versus `32.731%`
-  prevalence, while INT/YIELD AP is `20.135`, indistinguishable from its
-  `20.438%` prevalence. Figure-7-style continuous wearer curves therefore
-  support dense forecasting, not semantic floor-control claims. Full curves,
-  counts, exclusions, and caveats are frozen in
+  LLM-assisted matched opportunities, the original v1 evaluator reported
+  ENTRY/INT AP of `52.487/20.135`; those opportunity values are superseded
+  because v1 could cross a competing ENTRY onset and arbitrarily selected among
+  multiple INT competitors. Figure-7-style continuous wearer curves support
+  dense forecasting, not semantic floor-control claims. The unaffected dense
+  curves and historical v1 opportunity record are in
   [`results/easycom_egospeak_three_level_eval_2026-09-16/`](results/easycom_egospeak_three_level_eval_2026-09-16/README.md).
 - F1 Frame-set Attention uses fused G+A as one query over the latest half-open
   causal person set. On the existing three-seed, four-epoch test screen it
@@ -74,12 +78,11 @@ result.
   `64.95099 +/- 0.09451` ten-horizon mean mAP. This is stable, but is not a
   matched improvement over the historical no-dev pooled result. Its three-seed
   boundary response/yield AP is `28.423 +/- 0.480` / `48.641 +/- 0.391`; on
-  provisional reviewed opportunities its ENTRY/INT AP is
-  `41.561 +/- 0.581` / `22.991 +/- 0.202`. These values are respectively
-  `-4.461/-1.275` points below the historical pooled-V seed-0 result, so the
-  current F1 screen does not support the hoped-for semantic-selectivity gain.
-  A same-split three-seed pooled control and correct/wrong visual controls
-  remain missing. See the immutable
+  the superseded v1 opportunity evaluator reported ENTRY/INT AP of
+  `41.561 +/- 0.581` / `22.991 +/- 0.202`; these values require a v2 rerun and
+  cannot currently support a semantic-selectivity conclusion. A same-split
+  three-seed pooled control and correct/wrong visual controls remain missing.
+  See the historical
   [`screening record`](results/easycom_omni_floor_screen_2026-09-16/README.md).
 
 ### Measured local-fusion screens