{"id":"W2943316197","doi":"10.3390/g10020020","title":"Voting in Three-Alternative Committees: An Experiment","year":2019,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Voting; Contingent vote; Variation (astronomy); SIGNAL (programming language); Approval voting; Bullet voting; Test (biology); Econometrics; Focus (optics); Private information retrieval; Economics; Microeconomics; Mathematical economics; Computer science; Condorcet method; Political science; Group voting ticket; Computer security; Law","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":[0.0002298611,0.00008051363,0.0001411383,0.00004442878,0.0001112158,0.00004818849,0.0002013183,0.00003404346,0.0002845369],"category_scores_gemma":[0.00001230043,0.00008350012,0.00003008251,0.00006487127,0.0001193023,0.0002691275,0.00007989178,0.00007152026,0.0001820913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227715,"about_ca_system_score_gemma":0.00002567926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01355062,"about_ca_topic_score_gemma":0.01894533,"domain_scores_codex":[0.9992503,0.00005990714,0.0001405653,0.0001977027,0.0001183048,0.0002332002],"domain_scores_gemma":[0.9997326,0.00003700723,0.00005325039,0.0001111873,0.00001628315,0.0000497079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001103832,0.0001430152,0.8810276,0.000002449488,0.000009841929,0.000003568673,0.07470867,0.00003552355,0.002171497,0.03823018,0.0001054251,0.003551201],"study_design_scores_gemma":[0.003591597,0.0009033791,0.3217011,0.0002413645,0.00002048376,0.000001533333,0.5690083,0.001891385,0.04761608,0.009468085,0.04360702,0.001949661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584661,0.0004733281,0.000004059852,0.0002018367,0.0003346965,0.0002406463,0.000001784916,0.00003787331,0.04023972],"genre_scores_gemma":[0.998689,0.00001750066,0.00046711,0.0001019045,0.00005981083,0.00003167721,0.000001330213,0.000008354474,0.0006233151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5593265,"threshold_uncertainty_score":0.9989564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892200713584727,"score_gpt":0.3607332908096011,"score_spread":0.3118112836737538,"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."}}