{"id":"W4385321339","doi":"10.1257/mic.20210392","title":"Bargaining over Treatment Choice under Disagreement","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Bargaining problem; Ex-ante; Stochastic game; Normative; Complete information; Exploit; Economics; Microeconomics; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00120759,0.0004065816,0.0009737607,0.0005559265,0.0003580397,0.0003415006,0.0005082578,0.00008376285,0.0009312943],"category_scores_gemma":[0.00004008249,0.000465264,0.0004144206,0.0002182431,0.0002413023,0.0004222365,0.0001083339,0.0002751848,0.01141866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177912,"about_ca_system_score_gemma":0.0001019188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008336682,"about_ca_topic_score_gemma":0.0001521505,"domain_scores_codex":[0.9969321,0.00006117297,0.001455334,0.0006588621,0.00002386303,0.0008686305],"domain_scores_gemma":[0.9973953,0.0002718628,0.001462846,0.0005366699,0.00001424043,0.0003190467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001431338,0.0002668962,0.5617443,0.00002257363,0.001997381,0.00003794003,0.002787383,0.02873413,0.0004394677,0.3572261,0.0132993,0.03330141],"study_design_scores_gemma":[0.005454765,0.001271109,0.1665625,0.00007406142,0.00008112059,0.0003945543,0.006123661,0.01125502,0.000323771,0.09307657,0.7129033,0.002479609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828213,0.0005522846,0.0004992617,0.0009684347,0.001705915,0.0002260147,0.0002038325,0.0001411188,0.01288182],"genre_scores_gemma":[0.9931852,0.001437632,0.0002569802,0.0007596803,0.001105279,0.00002795134,0.0000297819,0.0001044551,0.003093105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.699604,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038451944769898,"score_gpt":0.2683439615986128,"score_spread":0.2298920168287148,"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."}}