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correct pd model for contrasts with temp
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phelps-sg committed Feb 28, 2024
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% latex table generated in R 4.3.2 by xtable 1.8-4 package
% Wed Feb 28 15:17:01 2024
\begin{table}[ht]
\centering
\begin{tabular}{lrrrrrl}
\hline
Partner\_condition\_pairwise & odds.ratio & SE & df & null & z.ratio & p.value \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0613, Participant_group = Control}\\
D / T4TD & 0.8989 & 0.0757 & Inf & 1.0000 & -1.266 & 0.2055 \\
D / T4TC & 0.2742 & 0.0250 & Inf & 1.0000 & -14.216 & $<$.0001 \\
D / C & 0.3140 & 0.0288 & Inf & 1.0000 & -12.638 & $<$.0001 \\
T4TD / T4TC & 0.3051 & 0.0276 & Inf & 1.0000 & -13.113 & $<$.0001 \\
T4TD / C & 0.3494 & 0.0319 & Inf & 1.0000 & -11.533 & $<$.0001 \\
T4TC / C & 1.1451 & 0.1110 & Inf & 1.0000 & 1.398 & 0.1621 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0301, Participant_group = Control}\\
D / T4TD & 0.9110 & 0.0854 & Inf & 1.0000 & -0.994 & 0.3204 \\
D / T4TC & 0.3202 & 0.0320 & Inf & 1.0000 & -11.398 & $<$.0001 \\
D / C & 0.2846 & 0.0288 & Inf & 1.0000 & -12.401 & $<$.0001 \\
T4TD / T4TC & 0.3514 & 0.0349 & Inf & 1.0000 & -10.520 & $<$.0001 \\
T4TD / C & 0.3124 & 0.0315 & Inf & 1.0000 & -11.534 & $<$.0001 \\
T4TC / C & 0.8889 & 0.0946 & Inf & 1.0000 & -1.107 & 0.2683 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-1106, Participant_group = Control}\\
D / T4TD & 1.0089 & 0.0976 & Inf & 1.0000 & 0.091 & 0.9274 \\
D / T4TC & 0.3211 & 0.0339 & Inf & 1.0000 & -10.760 & $<$.0001 \\
D / C & 0.3639 & 0.0386 & Inf & 1.0000 & -9.539 & $<$.0001 \\
T4TD / T4TC & 0.3182 & 0.0334 & Inf & 1.0000 & -10.903 & $<$.0001 \\
T4TD / C & 0.3607 & 0.0380 & Inf & 1.0000 & -9.676 & $<$.0001 \\
T4TC / C & 1.1334 & 0.1282 & Inf & 1.0000 & 1.107 & 0.2682 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0613, Participant_group = Selfish}\\
D / T4TD & 0.8672 & 0.0817 & Inf & 1.0000 & -1.513 & 0.1303 \\
D / T4TC & 0.3588 & 0.0343 & Inf & 1.0000 & -10.709 & $<$.0001 \\
D / C & 0.5605 & 0.0550 & Inf & 1.0000 & -5.901 & $<$.0001 \\
T4TD / T4TC & 0.4137 & 0.0392 & Inf & 1.0000 & -9.324 & $<$.0001 \\
T4TD / C & 0.6463 & 0.0627 & Inf & 1.0000 & -4.496 & $<$.0001 \\
T4TC / C & 1.5623 & 0.1535 & Inf & 1.0000 & 4.540 & $<$.0001 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0301, Participant_group = Selfish}\\
D / T4TD & 0.8802 & 0.0813 & Inf & 1.0000 & -1.381 & 0.1671 \\
D / T4TC & 0.3486 & 0.0339 & Inf & 1.0000 & -10.827 & $<$.0001 \\
D / C & 0.4014 & 0.0390 & Inf & 1.0000 & -9.387 & $<$.0001 \\
T4TD / T4TC & 0.3961 & 0.0387 & Inf & 1.0000 & -9.474 & $<$.0001 \\
T4TD / C & 0.4561 & 0.0445 & Inf & 1.0000 & -8.039 & $<$.0001 \\
T4TC / C & 1.1514 & 0.1170 & Inf & 1.0000 & 1.387 & 0.1655 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-1106, Participant_group = Selfish}\\
D / T4TD & 0.9932 & 0.1067 & Inf & 1.0000 & -0.063 & 0.9496 \\
D / T4TC & 0.6823 & 0.0753 & Inf & 1.0000 & -3.464 & 0.0005 \\
D / C & 0.6558 & 0.0743 & Inf & 1.0000 & -3.723 & 0.0002 \\
T4TD / T4TC & 0.6870 & 0.0742 & Inf & 1.0000 & -3.478 & 0.0005 \\
T4TD / C & 0.6603 & 0.0732 & Inf & 1.0000 & -3.742 & 0.0002 \\
T4TC / C & 0.9612 & 0.1093 & Inf & 1.0000 & -0.348 & 0.7276 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0613, Participant_group = Competitive}\\
D / T4TD & 0.8826 & 0.0867 & Inf & 1.0000 & -1.272 & 0.2035 \\
D / T4TC & 0.4507 & 0.0443 & Inf & 1.0000 & -8.103 & $<$.0001 \\
D / C & 0.8928 & 0.0934 & Inf & 1.0000 & -1.083 & 0.2787 \\
T4TD / T4TC & 0.5107 & 0.0497 & Inf & 1.0000 & -6.900 & $<$.0001 \\
T4TD / C & 1.0115 & 0.1050 & Inf & 1.0000 & 0.110 & 0.9122 \\
T4TC / C & 1.9808 & 0.2054 & Inf & 1.0000 & 6.592 & $<$.0001 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0301, Participant_group = Competitive}\\
D / T4TD & 0.8123 & 0.0768 & Inf & 1.0000 & -2.200 & 0.0278 \\
D / T4TC & 0.8534 & 0.0837 & Inf & 1.0000 & -1.616 & 0.1061 \\
D / C & 1.1412 & 0.1150 & Inf & 1.0000 & 1.310 & 0.1900 \\
T4TD / T4TC & 1.0506 & 0.1032 & Inf & 1.0000 & 0.503 & 0.6153 \\
T4TD / C & 1.4050 & 0.1417 & Inf & 1.0000 & 3.370 & 0.0008 \\
T4TC / C & 1.3373 & 0.1391 & Inf & 1.0000 & 2.794 & 0.0052 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-1106, Participant_group = Competitive}\\
D / T4TD & 0.9991 & 0.1221 & Inf & 1.0000 & -0.007 & 0.9941 \\
D / T4TC & 0.7688 & 0.0955 & Inf & 1.0000 & -2.117 & 0.0343 \\
D / C & 0.6530 & 0.0903 & Inf & 1.0000 & -3.081 & 0.0021 \\
T4TD / T4TC & 0.7695 & 0.0906 & Inf & 1.0000 & -2.225 & 0.0261 \\
T4TD / C & 0.6536 & 0.0865 & Inf & 1.0000 & -3.211 & 0.0013 \\
T4TC / C & 0.8494 & 0.1140 & Inf & 1.0000 & -1.216 & 0.2241 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0613, Participant_group = Cooperative}\\
D / T4TD & 0.9140 & 0.0782 & Inf & 1.0000 & -1.051 & 0.2932 \\
D / T4TC & 0.1467 & 0.0142 & Inf & 1.0000 & -19.809 & $<$.0001 \\
D / C & 0.1579 & 0.0153 & Inf & 1.0000 & -18.998 & $<$.0001 \\
T4TD / T4TC & 0.1604 & 0.0155 & Inf & 1.0000 & -18.924 & $<$.0001 \\
T4TD / C & 0.1728 & 0.0168 & Inf & 1.0000 & -18.110 & $<$.0001 \\
T4TC / C & 1.0769 & 0.1142 & Inf & 1.0000 & 0.698 & 0.4849 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0301, Participant_group = Cooperative}\\
D / T4TD & 0.9221 & 0.0816 & Inf & 1.0000 & -0.916 & 0.3597 \\
D / T4TC & 0.2640 & 0.0251 & Inf & 1.0000 & -13.983 & $<$.0001 \\
D / C & 0.2417 & 0.0233 & Inf & 1.0000 & -14.721 & $<$.0001 \\
T4TD / T4TC & 0.2863 & 0.0273 & Inf & 1.0000 & -13.109 & $<$.0001 \\
T4TD / C & 0.2621 & 0.0253 & Inf & 1.0000 & -13.854 & $<$.0001 \\
T4TC / C & 0.9156 & 0.0937 & Inf & 1.0000 & -0.862 & 0.3888 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-1106, Participant_group = Cooperative}\\
D / T4TD & 0.9082 & 0.0865 & Inf & 1.0000 & -1.011 & 0.3118 \\
D / T4TC & 0.2790 & 0.0300 & Inf & 1.0000 & -11.862 & $<$.0001 \\
D / C & 0.2682 & 0.0293 & Inf & 1.0000 & -12.045 & $<$.0001 \\
T4TD / T4TC & 0.3072 & 0.0327 & Inf & 1.0000 & -11.077 & $<$.0001 \\
T4TD / C & 0.2953 & 0.0319 & Inf & 1.0000 & -11.274 & $<$.0001 \\
T4TC / C & 0.9614 & 0.1143 & Inf & 1.0000 & -0.331 & 0.7403 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0613, Participant_group = Altruistic}\\
D / T4TD & 0.8835 & 0.0795 & Inf & 1.0000 & -1.377 & 0.1686 \\
D / T4TC & 0.1615 & 0.0166 & Inf & 1.0000 & -17.687 & $<$.0001 \\
D / C & 0.1931 & 0.0199 & Inf & 1.0000 & -15.994 & $<$.0001 \\
T4TD / T4TC & 0.1828 & 0.0189 & Inf & 1.0000 & -16.465 & $<$.0001 \\
T4TD / C & 0.2185 & 0.0225 & Inf & 1.0000 & -14.766 & $<$.0001 \\
T4TC / C & 1.1956 & 0.1358 & Inf & 1.0000 & 1.573 & 0.1157 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-0301, Participant_group = Altruistic}\\
D / T4TD & 0.8087 & 0.0753 & Inf & 1.0000 & -2.280 & 0.0226 \\
D / T4TC & 0.4591 & 0.0440 & Inf & 1.0000 & -8.115 & $<$.0001 \\
D / C & 0.4596 & 0.0439 & Inf & 1.0000 & -8.144 & $<$.0001 \\
T4TD / T4TC & 0.5678 & 0.0542 & Inf & 1.0000 & -5.934 & $<$.0001 \\
T4TD / C & 0.5684 & 0.0540 & Inf & 1.0000 & -5.952 & $<$.0001 \\
T4TC / C & 1.0011 & 0.0975 & Inf & 1.0000 & 0.012 & 0.9908 \\
\hline
\multicolumn{7}{l}{Model = gpt-3.5-turbo-1106, Participant_group = Altruistic}\\
D / T4TD & 1.1258 & 0.1337 & Inf & 1.0000 & 0.998 & 0.3185 \\
D / T4TC & 0.5100 & 0.0673 & Inf & 1.0000 & -5.104 & $<$.0001 \\
D / C & 0.5760 & 0.0760 & Inf & 1.0000 & -4.183 & $<$.0001 \\
T4TD / T4TC & 0.4531 & 0.0574 & Inf & 1.0000 & -6.252 & $<$.0001 \\
T4TD / C & 0.5116 & 0.0648 & Inf & 1.0000 & -5.294 & $<$.0001 \\
T4TC / C & 1.1293 & 0.1569 & Inf & 1.0000 & 0.875 & 0.3815 \\
\hline
\multicolumn{7}{l}{{\footnotesize Results are averaged over the levels of: Temperature}}\\

\multicolumn{7}{l}{{\footnotesize Tests are performed on the log odds ratio scale}}\\
\end{tabular}
\end{table}

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