{"id":"W2948174074","doi":"10.3390/g10020025","title":"Optimal Majority Rule in Referenda","year":2019,"lang":"en","type":"article","venue":"Games","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"Concordia University","keywords":"Status quo; Majority rule; Preference; Status quo bias; Referendum; Stochastic game; Economics; Welfare; Mathematical economics; Microeconomics; Political science; Politics; 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":[0.000247483,0.00003159417,0.00007194054,0.00002074649,0.0000370492,0.00002284859,0.00005653967,0.00004783367,0.0006896944],"category_scores_gemma":[0.00005621402,0.00002884817,0.00001758891,0.00009632891,0.00002966669,0.00008179853,0.000008686175,0.00005656168,0.0005504035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005309985,"about_ca_system_score_gemma":0.00004064669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970967,"about_ca_topic_score_gemma":0.005682079,"domain_scores_codex":[0.9994094,0.00009315498,0.00008734385,0.00008164514,0.0001194137,0.0002090866],"domain_scores_gemma":[0.9998075,0.00004277405,0.00001645854,0.00006216812,0.00001792458,0.00005317199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008832953,0.00003679553,0.7948133,0.00001346116,0.000003145973,0.000001316109,0.003048653,0.00003030947,0.0003154377,0.1980457,0.0009274629,0.002755588],"study_design_scores_gemma":[0.0003054474,0.00004822659,0.8339254,0.00003303899,0.000003558844,1.859922e-7,0.0008439436,0.00008294536,0.0003645089,0.01145829,0.1527637,0.0001708383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274297,0.00003142862,0.000003494014,0.0009183584,0.0001732095,0.0000813518,0.000001411326,0.00002203861,0.07133901],"genre_scores_gemma":[0.9926044,0.00000207085,0.00005477051,0.0000566879,0.0001166243,0.0000057911,0.000001383364,0.000002353108,0.007155864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1865874,"threshold_uncertainty_score":0.9868182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970713659861738,"score_gpt":0.3503837882675576,"score_spread":0.3106766516689402,"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."}}