{"id":"W7124133228","doi":"10.65109/wljk4444","title":"Convergence and Quality of Iterative Voting under Non-Scoring Rules: (Extended Abstract)","year":2016,"lang":"","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Voting; Convergence (economics); Quality (philosophy); Cardinal voting systems; Social choice theory; Anti-plurality voting; Iterative method; Path (computing)","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":[],"category_scores_codex":[0.003511302,0.0003556048,0.00106789,0.0002142778,0.0001846749,0.00009828868,0.0002881338,0.0002274105,0.001542074],"category_scores_gemma":[0.0003924431,0.0003132273,0.0001954186,0.0001738817,0.0003743568,0.0006238375,0.0001560714,0.0001830792,0.0004284719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004326,"about_ca_system_score_gemma":0.0000403618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005274313,"about_ca_topic_score_gemma":0.00004233675,"domain_scores_codex":[0.9962137,0.00009439032,0.002262875,0.0008236718,0.00007627845,0.0005290356],"domain_scores_gemma":[0.9965807,0.0009373974,0.00172604,0.0004575921,0.0001191676,0.0001791481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007397649,0.0001163754,0.1337592,0.0004745221,0.0001782975,0.000001153273,0.00202258,0.00001470744,0.004221244,0.8571904,0.00001369506,0.001933749],"study_design_scores_gemma":[0.003540095,0.000350392,0.9176801,0.001736447,0.00003169668,0.000009028269,0.003501303,0.001586015,0.01541745,0.05412528,0.0005398722,0.001482335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944328,0.00106184,0.03176711,0.0001814092,0.001093741,0.0003081163,0.0002157612,0.00002581982,0.02101821],"genre_scores_gemma":[0.9929689,0.00032932,0.0003893998,0.00006263272,0.0001546399,0.000009005111,0.000001892653,0.00003144922,0.006052719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8030652,"threshold_uncertainty_score":0.999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07246094953274916,"score_gpt":0.2804247535261464,"score_spread":0.2079638039933972,"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."}}