{"id":"W4282036599","doi":"10.3390/g13030043","title":"On the Impact of an Intermediary Agent in the Ultimatum Game","year":2022,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Delegate; Microeconomics; Intermediary; Ultimatum game; Censoring (clinical trials); Economics; Computer science; Econometrics; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000591178,0.00005144386,0.00008014651,0.00002859632,0.0001976355,0.00002008929,0.0003807434,0.00001067808,0.0004231931],"category_scores_gemma":[0.00004406675,0.00002912097,0.00006670538,0.00009635104,0.0002241081,0.00005404282,0.0000959641,0.0001193845,0.000008648001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908937,"about_ca_system_score_gemma":0.00004775975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005261389,"about_ca_topic_score_gemma":0.0005637164,"domain_scores_codex":[0.9992429,0.0002938797,0.0001013876,0.00008770779,0.0001388239,0.0001352878],"domain_scores_gemma":[0.9996198,0.0001606907,0.00005179518,0.0001446414,0.000005814013,0.00001729958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001174942,0.001113171,0.05453142,0.000002942575,0.00005048199,0.00002404594,0.8665869,0.0005425711,0.002062368,0.03883946,0.02658451,0.009544698],"study_design_scores_gemma":[0.0005104134,0.001243409,0.3379227,0.00001745219,0.00001431103,0.000003140823,0.6379936,0.0003306714,0.001014193,0.01594134,0.004710944,0.0002977811],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98414,0.0001004883,1.231048e-7,0.001155522,0.0001277939,0.0001860932,0.00001490193,0.000008186687,0.01426683],"genre_scores_gemma":[0.9995006,0.00001975736,0.000006263066,0.0002379461,0.00002558659,0.00007900441,0.000002094991,0.000003707018,0.0001249922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2833913,"threshold_uncertainty_score":0.7953681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360842326444608,"score_gpt":0.3744875520996916,"score_spread":0.3308791288352455,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}