Fix opportunity competing-risk evaluation

manuscript/main/main.tex

@@ -406,8 +406,8 @@ verify identical targets, causal validity, and evaluation.}
 \begin{table}[t]
 \caption{Confirmatory EasyCom results. Entry and INT false-positive rates use
 the opportunity-conditioned activity score at matched recall $R=0.8$; E/I AP
-is the corresponding opportunity AP. $\dagger$ denotes provisional
-LLM-assisted labels pending human review.}
+is the corresponding opportunity AP. Event results will be populated only
+after protocol-v2 reruns and human adjudication.}
 \label{tab:main}
 \centering
 \small
@@ -417,7 +417,7 @@ LLM-assisted labels pending human review.}
 Method & 0.2-s mAP $\uparrow$ & Mean mAP $\uparrow$
 & Entry FPR@$R=.8$ $\downarrow$ & INT FPR@$R=.8$ $\downarrow$ & E/I AP $\uparrow$\\
 \hline
-EgoSpeak MiniROADA A+V      & 74.12 & 61.16 & \todo{--} & \todo{--} & $52.49/20.13^\dagger$\\
+EgoSpeak MiniROADA A+V      & 74.12 & 61.16 & \todo{--} & \todo{--} & \todo{--/--}\\
 Omni-3B frozen $G$          & \todo{--} & \todo{--} & \todo{--} & \todo{--} & \todo{--/--}\\
 Omni-3B matched PEFT        & \todo{--} & \todo{--} & \todo{--} & \todo{--} & \todo{--/--}\\
 $G+$local audio             & \todo{--} & \todo{--} & \todo{--} & \todo{--} & \todo{--/--}\\
@@ -430,10 +430,9 @@ Omni-7B scaling control     & \todo{--} & \todo{--} & \todo{--} & \todo{--} & \t
 
 \textbf{Dense forecasting.}
 The EgoSpeak baseline reaches 74.12\% 0.2-s mAP and 61.16\% mean mAP; its raw
-wearer-onset/offset mean APs are 24.49/38.02\%. On provisional reviewed
-opportunities, ENTRY AP is 52.49\% versus 32.73\% prevalence, whereas INT AP is
-20.13\% versus 20.44\%; continuous wearer-score plots therefore do not alone
-establish semantic floor-yield selectivity.
+wearer-onset/offset mean APs are 24.49/38.02\%. Opportunity-conditioned values
+remain pending a protocol-v2 rerun and human review; continuous wearer-score
+plots do not alone establish semantic floor-yield selectivity.
 The proposed local AV adapter improves 0.2-s mAP from
 \todo{$X$ to $Y$} over the strongest matched baseline and improves
 mean mAP by \todo{$Z$ points}.