{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0117978,0.001137165,0.001472019,0.0007625979,0.002481719,0.006220231,0.002031601,0.003784976,0.02111218],"category_scores_gemma":[0.06478584,0.0007086914,0.0009288994,0.0009241218,0.005144726,0.008334029,0.003918448,0.006352307,0.001176908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003119939,"about_ca_system_score_gemma":0.002293909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004072208,"about_ca_topic_score_gemma":0.003312242,"domain_scores_codex":[0.9905636,0.00696678,0.0002259151,0.0005436654,0.000721039,0.0009789699],"domain_scores_gemma":[0.9182432,0.0694562,0.006421824,0.002483612,0.001270547,0.002124561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006471092,0.000357856,0.003981071,0.0002018784,0.00009246777,0.0005020987,0.001211926,0.07651551,0.002415322,0.8993434,0.001509204,0.01322214],"study_design_scores_gemma":[0.000398614,0.0007886858,0.004656421,0.0001951666,0.000266966,0.0002662607,0.00206171,0.328445,0.001685648,0.6557626,0.005304668,0.000168158],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6230748,0.00111095,0.1324748,0.006818142,0.0002432272,0.0002135196,0.0001792196,0.0001444144,0.2357409],"genre_scores_gemma":[0.9896777,0.0002481651,0.005568824,0.0003095609,0.00005724329,0.00005945496,0.00002018844,0.00002254698,0.00403635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02111218,"threshold_uncertainty_score":0.07062727,"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."}}