\begin{table}[h]
\caption{epiplexity: Biological vs Naive Comparison}
\centering
\begin{tabular}{llccccc}
\toprule
Scenario & Metric & Biological & Ablated & Naive & $\Delta$ & N \\
\midrule
convergence & convergence\_discrimination & 0.473 & 0.000 & 1.000 & \textbf{-0.527} & 500000 \\
convergence & detection\_accuracy & 0.473 & 1.000 & 1.000 & \textbf{-0.527} & 500000 \\
convergence & false\_positive & 0.000 & 0.000 & 0.000 & +0.000 & 500000 \\
exploration & detection\_accuracy & 1.000 & 1.000 & 1.000 & +0.000 & 500000 \\
exploration & false\_positive & 0.000 & 0.000 & 0.000 & +0.000 & 500000 \\
false\_stagnation & convergence\_discrimination & 0.540 & 0.000 & 0.993 & \textbf{-0.453} & 500000 \\
false\_stagnation & detection\_accuracy & 0.540 & 1.000 & 0.993 & \textbf{-0.453} & 500000 \\
false\_stagnation & false\_positive & 0.052 & 0.000 & 0.007 & \textbf{+0.045} & 500000 \\
loop & detection\_accuracy & 0.467 & 0.080 & 0.940 & \textbf{-0.473} & 500000 \\
loop & false\_negative & 0.580 & 1.000 & 0.000 & \textbf{+0.580} & 460000 \\
loop & false\_positive & 0.000 & 0.000 & 0.750 & \textbf{-0.750} & 40000 \\
trophic\_withdrawal & detection\_accuracy & 0.431 & 0.400 & 0.480 & \textbf{-0.049} & 500000 \\
trophic\_withdrawal & false\_negative & 0.948 & 1.000 & 0.866 & \textbf{+0.081} & 300000 \\
trophic\_withdrawal & false\_positive & 0.000 & 0.000 & 0.000 & +0.000 & 200000 \\
\bottomrule
\end{tabular}
\end{table}