{"id":"W2250449406","doi":"","title":"Voting rules as statistical estimators","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Voting; Estimator; Social choice theory; Majority rule; Interpretation (philosophy); Aggregate (composite); Decision rule; Judgement; Computer science; Scoring rule; Econometrics; Mathematics; Mathematical economics; Artificial intelligence; Statistics; Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01645863,0.0008125358,0.001577437,0.002306601,0.0009380021,0.006905928,0.002414624,0.002740296,0.003903504],"category_scores_gemma":[0.06104771,0.0007180828,0.001356371,0.002054296,0.004934088,0.005779419,0.001753458,0.002741199,0.001151387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627062,"about_ca_system_score_gemma":0.001110773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009200808,"about_ca_topic_score_gemma":0.0006837731,"domain_scores_codex":[0.9799727,0.01154269,0.001539448,0.002706037,0.003386499,0.0008526544],"domain_scores_gemma":[0.9573536,0.03013449,0.00344667,0.005479455,0.003136065,0.0004497041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001077645,0.000008041022,0.0004039484,0.00004975542,0.00002901095,0.00001871877,0.00009576506,0.01413351,0.000183811,0.9715644,0.0007034941,0.0127989],"study_design_scores_gemma":[0.00001353599,0.00001064829,0.0001343943,0.00002681511,0.000008802232,0.00001989801,0.00001733802,0.07195857,0.0002101582,0.9250037,0.00258602,0.0000100983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009139949,0.000409545,0.9810792,0.000745128,0.0001442345,0.00007048174,0.0001451811,0.0001298964,0.008136468],"genre_scores_gemma":[0.4930059,0.001527457,0.492174,0.0008531982,0.0009157402,0.0007929535,0.0007427958,0.0002999498,0.009687995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01645863,"threshold_uncertainty_score":0.08704257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07019080891397811,"score_gpt":0.3157913099015064,"score_spread":0.2456005009875283,"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."}}