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| \begin{table} | ||
| \begin{center} | ||
| \begin{small} | ||
| \begin{tabular}{l c} | ||
| \hline | ||
| & Model 1 \\ | ||
| \hline | ||
| (Intercept) & $-0.47 \; (0.12)^{***}$ \\ | ||
| Participant\_groupSelfish & $-0.71 \; (0.17)^{***}$ \\ | ||
| Participant\_groupCompetitive & $-0.81 \; (0.17)^{***}$ \\ | ||
| Participant\_groupCooperative & $0.00 \; (0.17)$ \\ | ||
| Participant\_groupAltruistic & $0.42 \; (0.17)^{*}$ \\ | ||
| Modelgpt-3.5-turbo-0301 & $-0.76 \; (0.11)^{***}$ \\ | ||
| Modelgpt-3.5-turbo-1106 & $0.45 \; (0.13)^{***}$ \\ | ||
| Temperature & $-0.03 \; (0.04)$ \\ | ||
| Participant\_groupControl:Partner\_conditionT4TD & $0.11 \; (0.08)$ \\ | ||
| Participant\_groupSelfish:Partner\_conditionT4TD & $0.14 \; (0.09)$ \\ | ||
| Participant\_groupCompetitive:Partner\_conditionT4TD & $0.12 \; (0.10)$ \\ | ||
| Participant\_groupCooperative:Partner\_conditionT4TD & $0.09 \; (0.09)$ \\ | ||
| Participant\_groupAltruistic:Partner\_conditionT4TD & $0.12 \; (0.09)$ \\ | ||
| Participant\_groupControl:Partner\_conditionT4TC & $1.29 \; (0.09)^{***}$ \\ | ||
| Participant\_groupSelfish:Partner\_conditionT4TC & $1.03 \; (0.10)^{***}$ \\ | ||
| Participant\_groupCompetitive:Partner\_conditionT4TC & $0.80 \; (0.10)^{***}$ \\ | ||
| Participant\_groupCooperative:Partner\_conditionT4TC & $1.92 \; (0.10)^{***}$ \\ | ||
| Participant\_groupAltruistic:Partner\_conditionT4TC & $1.82 \; (0.10)^{***}$ \\ | ||
| Participant\_groupControl:Partner\_conditionC & $1.16 \; (0.09)^{***}$ \\ | ||
| Participant\_groupSelfish:Partner\_conditionC & $0.58 \; (0.10)^{***}$ \\ | ||
| Participant\_groupCompetitive:Partner\_conditionC & $0.11 \; (0.10)$ \\ | ||
| Participant\_groupCooperative:Partner\_conditionC & $1.85 \; (0.10)^{***}$ \\ | ||
| Participant\_groupAltruistic:Partner\_conditionC & $1.64 \; (0.10)^{***}$ \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-0301:Partner\_conditionD & $1.01 \; (0.14)^{***}$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-0301:Partner\_conditionD & $1.19 \; (0.14)^{***}$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-0301:Partner\_conditionD & $1.04 \; (0.14)^{***}$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-0301:Partner\_conditionD & $0.94 \; (0.14)^{***}$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-0301:Partner\_conditionD & $0.87 \; (0.14)^{***}$ \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-1106:Partner\_conditionD & $0.12 \; (0.16)$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-1106:Partner\_conditionD & $0.05 \; (0.16)$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-1106:Partner\_conditionD & $-0.11 \; (0.17)$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-1106:Partner\_conditionD & $0.53 \; (0.16)^{***}$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-1106:Partner\_conditionD & $1.09 \; (0.17)^{***}$ \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TD & $1.00 \; (0.14)^{***}$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TD & $1.18 \; (0.14)^{***}$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TD & $1.12 \; (0.14)^{***}$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TD & $0.93 \; (0.14)^{***}$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TD & $0.96 \; (0.14)^{***}$ \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TD & $0.00 \; (0.16)$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TD & $-0.09 \; (0.16)$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TD & $-0.23 \; (0.17)$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TD & $0.53 \; (0.16)^{***}$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TD & $0.85 \; (0.16)^{***}$ \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TC & $0.86 \; (0.15)^{***}$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TC & $1.22 \; (0.14)^{***}$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TC & $0.40 \; (0.15)^{**}$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TC & $0.35 \; (0.15)^{*}$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-0301:Partner\_conditionT4TC & $-0.18 \; (0.15)$ \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TC & $-0.04 \; (0.17)$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TC & $-0.60 \; (0.16)^{***}$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TC & $-0.64 \; (0.17)^{***}$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TC & $-0.12 \; (0.17)$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-1106:Partner\_conditionT4TC & $-0.06 \; (0.18)$ \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-0301:Partner\_conditionC & $1.11 \; (0.15)^{***}$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-0301:Partner\_conditionC & $1.53 \; (0.15)^{***}$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-0301:Partner\_conditionC & $0.79 \; (0.15)^{***}$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-0301:Partner\_conditionC & $0.51 \; (0.15)^{***}$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-0301:Partner\_conditionC & \\ | ||
| Participant\_groupControl:Modelgpt-3.5-turbo-1106:Partner\_conditionC & $-0.03 \; (0.17)$ \\ | ||
| Participant\_groupSelfish:Modelgpt-3.5-turbo-1106:Partner\_conditionC & $-0.11 \; (0.17)$ \\ | ||
| Participant\_groupCompetitive:Modelgpt-3.5-turbo-1106:Partner\_conditionC & $0.21 \; (0.18)$ \\ | ||
| Participant\_groupCooperative:Modelgpt-3.5-turbo-1106:Partner\_conditionC & $-0.00 \; (0.17)$ \\ | ||
| Participant\_groupAltruistic:Modelgpt-3.5-turbo-1106:Partner\_conditionC & \\ | ||
| \hline | ||
| AIC & $92968.30$ \\ | ||
| Log Likelihood & $-46421.15$ \\ | ||
| Num. obs. & $29146$ \\ | ||
| Num. groups: Participant\_id & $450$ \\ | ||
| Var: Participant\_id (Intercept) & $0.98$ \\ | ||
| \hline | ||
| \multicolumn{2}{l}{\tiny{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}} | ||
| \end{tabular} | ||
| \end{small} | ||
| \caption{Fitted model for Prisoners Dilemma} | ||
| \label{table:pd-estimates} | ||
| \end{center} | ||
| \end{table} |