## 3 Results
\begin{table}
\begin{tabular}{l l l l l l l l l} \hline \multicolumn{1}{c}{**Variables**} & \multicolumn{1}{c}{**Accuracy**} & \multicolumn{1}{c}{**Completeness**} & \multicolumn{1}{c}{**Response Time**} & \multicolumn{1}{c}{**FRES**} & \multicolumn{1}{c}{**FKGL**} & \multicolumn{1}{c}{**GFI**} & \multicolumn{1}{c}{**SMOG**} & \multicolumn{1}{c}{**CLI**} \\ \hline \multirow{2}{*}{**Accuracy**} & \(\rho\) & \multirow{2}{*}{**\(\mathbf{0.701}\)**} & \(-0.028\) & \(-0.013\) & \(0.017\) & \(-0.019\) & \(-0.016\) & \(-0.064\) \\  & \(\mathbf{p\text{-value}}\)* & & \(\mathbf{<0.001}\) & 0.570 & 0.790 & 0.728 & 0.710 & 0.753 & 0.198 \\ \hline \multirow{2}{*}{**Completeness**} & \(\rho\) & \(\mathbf{0.701}\) & \multirow{2}{*}{**\(\mathbf{0.112}\)**} & \(-0.054\) & \(0.057\) & \(0.070\) & \(0.049\) & \(-0.043\) \\  & \(\mathbf{p\text{-value}}\)* & & \(\mathbf{<0.001}\) & & \(\mathbf{0.025}\) & 0.280 & 0.165 & 0.331 & 0.391 \\ \hline \multirow{2}{*}{**Response Time**} & \(\rho\) & \(-0.028\) & \(\mathbf{0.112}\) & & \(\mathbf{0.314}\) & \(\mathbf{-0.367}\) & \(\mathbf{-0.318}\) & \(\mathbf{-0.357}\) & \(\mathbf{-0.248}\) \\  & \(\mathbf{p\text{-value}}\)* & 0.570 & \(\mathbf{0.025}\) & & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) \\ \hline \multirow{2}{*}{**FRES**} & \(\rho\) & \(-0.013\) & \(-0.054\) & \(\mathbf{0.314}\) & & \(\mathbf{-0.961}\) & \(\mathbf{-0.914}\) & \(\mathbf{-0.928}\) & \(\mathbf{-0.639}\) \\  & \(\mathbf{p\text{-value}}\)* & 0.790 & 0.280 & \(\mathbf{<0.001}\) & & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) \\ \hline \multirow{2}{*}{**FKGL**} & \(\rho\) & \(-0.017\) & \(0.057\) & \(-0.367\) & \(\mathbf{-0.961}\) & & \(0.956\) & 0.986 & 0.500 \\  & \(\mathbf{p\text{-value}}\)* & 0.728 & \(0.258\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) \\ \hline \multirow{2}{*}{**GFI**} & \(\rho\) & \(-0.019\) & \(0.070\) & \(-0.318\) & \(-0.914\) & \(0.956\) & & \(0.971\) & 0.476 \\  & \(\mathbf{p\text{-value}}\)* & 0.710 & \(0.165\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & & \(\mathbf{<0.001}\) \\ \hline \multirow{2}{*}{**SMOG**} & \(\rho\) & \(-0.016\) & \(0.049\) & \(-0.357\) & \(-0.928\) & \(0.986\) & \(0.971\) & & 0.463 \\  & \(\mathbf{p\text{-value}}\)* & 0.753 & \(0.331\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & & \(\mathbf{<0.001}\) \\ \hline \multirow{2}{*}{**CLI**} & \(\rho\) & \(-0.064\) & \(-0.043\) & \(-0.248\) & \(-0.639\) & \(0.500\) & \(\mathbf{0.476}\) & 0.463 \\  & \(\mathbf{p\text{-value}}\)* & 0.198 & \(0.391\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) & \(\mathbf{<0.001}\) \\ \hline \end{tabular}
\begin{tabular}{l l l l l l l l l} \hline \multicolumn{1}{c}{**FRES**} & \multicolumn{1}{c}{FRES**} & \multicolumn{1}{c}{FRES**} & \multicolumn{1}{c}{FRES**} & \multicolumn{1}{c}{FRES**} & \multicolumn{1}{c}{FRES**} & \multicolumn{1}{c}{Kincaid & \multicolumn{1}{c}{FRES**} & \multicolumn{1}{c}{Kincaid & \multicolumn{1}{c}{FRES**}} & \multicolumn{1}{c}{GFI} & \multicolumn{1}{c}{Gunning Fog Index, SMOG: Simple Measure of Gobbledygook Index, CLI: Coleman–Liau Index. * Spearman correlation analysis. Bold values mean statistically significant (\(p\)! 0.05).} \\ \hline \end{tabular}
\end{table} 
Table 5: Spearman correlation analysis between accuracy and completeness scores, response time, and readability scores for ChatGPT-4 Omni, DeepSeek, Gemini Advanced, and Claude 3.7.