% Auto-generated by eval/report.py
\begin{table}[h]
\centering
\small
\setlength{\tabcolsep}{4pt}
\begin{tabular}{p{0.46\linewidth}ccc}
\toprule
Metric & Rate & 95\% CI & N \\
\midrule
Chaperone Folding (Strict) & 5.5\\% & [5.2, 5.9]\\% & 20000 \\
Chaperone Folding (Cascade) & 56.2\\% & [55.6, 56.9]\\% & 20000 \\
Healing Loop (Error Context) & 99.6\\% & [99.5, 99.7]\\% & 20000 \\
Healing Loop (Blind Retry) & 68.0\\% & [67.4, 68.7]\\% & 20000 \\
Immune Detection (Sensitivity) & 100.0\\% & [99.5, 100.0]\\% & 800 \\
Immune Detection (False Positive) & 0.4\\% & [0.3, 0.7]\\% & 3200 \\
\midrule
BFCL Folding (Strict) & 4.9\\% & [4.6, 5.2]\\% & 20000 \\
BFCL Folding (Cascade) & 56.9\\% & [56.2, 57.6]\\% & 20000 \\
AgentDojo Immune (Sensitivity) & 100.0\\% & [99.5, 100.0]\\% & 800 \\
AgentDojo Immune (False Positive) & 0.0\\% & [0.0, 0.1]\\% & 3200 \\
\bottomrule
\end{tabular}
\caption{Evaluation results aggregated across 100 deterministic seeds (Wilson 95\% CI). Top: synthetic motif tests. Bottom: external benchmark--derived tests (BFCL, AgentDojo).}
\label{tab:eval-summary}
\end{table}
