\begin{table}[tb]
\centering
\caption{\textbf{Comparison of WristMIR with medical CLIP baselines and a domain-specific fine-tuned baseline (\textsc{Global-only FT}).} WristMIR achieves the highest Recall@$k$ across all $k$ values and outperforms all baselines in linear probing metrics, demonstrating stronger wrist-specific representations.}
\begin{tabular}{l rrrr | rrr}
\hline
\multicolumn{1}{c}{Method} & \multicolumn{4}{c}{Recall@$k$ (\qty{}{\percent}) $\uparrow$} & \multicolumn{3}{c}{Linear Probing} \\
\cline{2-5} \cline{6-8}
& $k=5$ & $k=10$ & $k=50$ & $k=100$ & AUROC $\uparrow$ & AUPRC $\uparrow$ & $F_1$ $\uparrow$ \\
\hline
\textsc{MedCLIP}       & 0.13 & 0.32 & 1.11 & 2.31 & 0.827 & 0.800 & 0.758 \\
\textsc{PMC-CLIP}      & 0.44 & 0.92 & 3.71 & 7.73 & 0.891 & 0.890 & 0.822 \\
\textsc{BioMedCLIP}    & 0.82 & 1.14 & 5.01 & 10.17 & 0.862 & 0.853 & 0.791 \\
\textsc{Global-only FT} & 5.83 & 9.41 & 21.71 & 28.91 & 0.898 & 0.913 & 0.815 \\
\rowcolor{gray!20}
\textbf{Our method} & \textbf{9.35} & \textbf{15.28} & \textbf{38.13} & \textbf{52.84} & \textbf{0.949} & \textbf{0.953} & \textbf{0.867} \\
\hline
\end{tabular}
\label{tab:uncond-retrieval}
\end{table}