{"id":"W4383533377","doi":"10.1145/3580507.3597739","title":"Best of Both Distortion Worlds","year":2023,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Voting; Ranking (information retrieval); Distortion (music); Happiness; Computer science; Set (abstract data type); Approval voting; Anti-plurality voting; Social choice theory; Cardinal voting systems; Mathematical economics; Artificial intelligence; Mathematical optimization; Mathematics; Social psychology; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005022653,0.0000421611,0.0001483043,0.0001293331,0.00002583185,0.000008238677,0.00007504291,0.00002970177,0.0003873476],"category_scores_gemma":[0.00004202226,0.00004541338,0.00004893151,0.0002554862,0.00002058584,0.00005363519,0.00001694991,0.00002997716,0.002817317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001452736,"about_ca_system_score_gemma":0.000002432389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001747978,"about_ca_topic_score_gemma":0.00001803925,"domain_scores_codex":[0.9994742,0.000006579558,0.0002901627,0.0001145383,0.00001248027,0.0001020659],"domain_scores_gemma":[0.9996719,0.00002804057,0.0001279252,0.0001442873,0.000006157625,0.00002172738],"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":[0.000004009947,0.00002714161,0.1042427,0.00003379369,0.00001246328,6.336448e-7,0.0002585859,0.00004824689,0.0000621859,0.8928167,0.001934396,0.0005590985],"study_design_scores_gemma":[0.001294232,0.0003404307,0.3612773,0.0001440437,0.00001376962,0.000005593434,0.0009910765,0.006076802,0.00206643,0.3643056,0.2626418,0.0008428697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.79392,0.0001451658,0.001726884,0.0001254488,0.0004766117,0.00006338536,0.00002441511,0.00007935128,0.2034387],"genre_scores_gemma":[0.9564674,0.00001360267,0.000038947,0.00001725722,0.00004893532,0.000004275443,0.000005982048,0.000007153271,0.04339644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5285111,"threshold_uncertainty_score":0.9979591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513318316040042,"score_gpt":0.2352154178439645,"score_spread":0.1838835862399603,"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."}}