\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lr}
\toprule
Model/adapter & Judge Score \\
\midrule
BioMistral (7B) & 0.4521044992743106 \\
Meditron (7B) & 0.23004354136429608 \\
Llama 2 (7B) & 0.11320754716981132 \\
Llama 3 (70B) & 0.5094339622641509 \\
Mistral Instruct v0.1 (7B) & 0.4927431059506531 \\
Mixtral (8x22B) & 0.330188679245283 \\
Claude 3 Haiku (20240307) & 0.7256894049346879 \\
Claude 3 Sonnet (20240229) & 0.7677793904208998 \\
Claude 3 Opus (20240229) & 0.7902757619738752 \\
Gemini 1.5 Pro (0409 preview) & 0.4172714078374456 \\
PaLM-2 (Bison) & 0.5130624092888244 \\
PaLM-2 (Unicorn) & 0.5544267053701016 \\
MedLM (Medium) & 0.47895500725689405 \\
MedLM (Large) & 0.6429608127721336 \\
GPT-3.5 Turbo (0125) & 0.6705370101596516 \\
GPT-4 Turbo (2024-04-09) & 0.6190130624092888 \\
GPT-4o (2024-05-13) & 0.5950653120464441 \\
\bottomrule
\end{tabular}}
\caption{Results for medication_qa_ (medication_qa)}
\label{fig:medication_qa_ (medication_qa)}
\end{table*}