{"id":"W4315929026","doi":"10.1016/j.joep.2023.102602","title":"Choosing an electoral rule: Values and self-interest in the lab","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Psychology","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"H2020 European Research Council; European Research Council; Social Sciences and Humanities Research Council of Canada; British Academy","keywords":"Pessimism; Majority rule; Voting; Outcome (game theory); Democracy; Politics; Decision rule; Context (archaeology); Value (mathematics); Microeconomics; Social psychology; Social choice theory; Economics; Political science; Positive economics; Psychology; Law; Statistics; Mathematics; Epistemology","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":[0.005320292,0.0002469316,0.0004236228,0.000187811,0.0006434001,0.00276581,0.0003549371,0.0006613841,0.005844669],"category_scores_gemma":[0.01052901,0.0002346261,0.000164411,0.0001706928,0.001960095,0.0008721036,0.0007795187,0.0009970161,0.000772338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712412,"about_ca_system_score_gemma":0.0002391906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002501825,"about_ca_topic_score_gemma":0.0002500744,"domain_scores_codex":[0.9974661,0.001880264,0.00005495024,0.0003204943,0.0001608129,0.0001174827],"domain_scores_gemma":[0.9912429,0.005029922,0.001384683,0.001347722,0.0002905492,0.0007042326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01371417,0.02495657,0.3917475,0.0005440086,0.0005742128,0.0008491545,0.01993098,0.01220922,0.255074,0.1104616,0.004520696,0.1654181],"study_design_scores_gemma":[0.002511225,0.03074776,0.510782,0.0002245981,0.0004224767,0.001080248,0.02101302,0.0646328,0.1086245,0.2304428,0.02905239,0.0004662143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917257,0.00003460387,0.003080703,0.0001658865,0.00001285351,0.00002624442,0.00002300137,0.000009501013,0.004921485],"genre_scores_gemma":[0.9960615,0.00002864283,0.002265108,0.0001575177,0.00001228359,0.00005841843,0.0000319305,0.000008708335,0.001375899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005844669,"threshold_uncertainty_score":0.02813673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153493311759496,"score_gpt":0.4388071580097485,"score_spread":0.3234578268337989,"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."}}