{"id":"W2464078358","doi":"","title":"Misrepresentation in district voting","year":2016,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Misrepresentation; Probabilistic logic; Voting; Representation (politics); Computer science; Accountability; Political science; Law; Artificial intelligence; Politics","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":[0.01512259,0.0003995651,0.001367821,0.001466889,0.002031037,0.004173529,0.002212024,0.001656356,0.007052637],"category_scores_gemma":[0.1088243,0.0005162253,0.0007266215,0.002208209,0.002779229,0.004774125,0.003948854,0.002258289,0.001044106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656178,"about_ca_system_score_gemma":0.001363722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286941,"about_ca_topic_score_gemma":0.001504579,"domain_scores_codex":[0.969592,0.01984085,0.001198129,0.003045466,0.004116432,0.002207084],"domain_scores_gemma":[0.9183812,0.04614361,0.01157284,0.0174146,0.004757769,0.001729943],"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":[0.000979237,0.0001379089,0.03829186,0.0002234402,0.0001813401,0.0004226991,0.001688602,0.1172642,0.00172182,0.7091271,0.006339055,0.1236228],"study_design_scores_gemma":[0.0001268783,0.0003065026,0.0133092,0.00009631233,0.0001329251,0.0007499299,0.001121761,0.3069368,0.004707103,0.6594908,0.01292021,0.000101488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4107651,0.00100915,0.5383188,0.002543241,0.0002174773,0.0002680862,0.0004826256,0.0005000907,0.04589551],"genre_scores_gemma":[0.9791244,0.0001247696,0.01677104,0.0001412072,0.0000586663,0.00007631989,0.0001286563,0.00005106567,0.003523958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01512259,"threshold_uncertainty_score":0.07997686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865305051284422,"score_gpt":0.3116819358125312,"score_spread":0.125151430684089,"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."}}