{"id":"W4283792808","doi":"10.1609/aaai.v36i5.20418","title":"Individual Representation in Approval-Based Committee Voting","year":2022,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Voting; Representativeness heuristic; Representation (politics); Preference; Contrast (vision); Computer science; Outcome (game theory); Focus (optics); Domain (mathematical analysis); Majority rule; Interval (graph theory); Artificial intelligence; Mathematics; Mathematical economics; Psychology; Social psychology; Statistics; Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001801491,0.00006753345,0.0001837636,0.0002459495,0.0001357477,0.00003749756,0.0002037686,0.00002487715,0.001061259],"category_scores_gemma":[0.00008342159,0.00008675583,0.0000506271,0.0003542742,0.00001620379,0.00007862129,0.00008266699,0.000172571,0.0001238518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000653915,"about_ca_system_score_gemma":0.000009092983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004020597,"about_ca_topic_score_gemma":0.00002561198,"domain_scores_codex":[0.9990266,0.00008273011,0.0004315036,0.000249229,0.00004045199,0.0001694803],"domain_scores_gemma":[0.9994923,0.000104247,0.0001996954,0.0001758562,0.000005113503,0.00002279286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001336316,0.00009038756,0.5401335,0.00001319962,0.000009740332,0.000003557133,0.0008103711,0.006088204,0.00001069724,0.4517171,0.0006511019,0.0004587213],"study_design_scores_gemma":[0.007610302,0.0004787382,0.5571662,0.00004387299,0.00001421492,0.00002961004,0.01077457,0.2005928,0.0008630829,0.1541017,0.06665689,0.00166802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412017,0.0001307313,0.003241307,0.0004603505,0.000393507,0.0002243653,0.00005598499,0.00006766081,0.05422435],"genre_scores_gemma":[0.9978445,2.787214e-7,0.000328696,0.0003150462,0.00003783054,0.00006259235,0.00003219195,0.00001194972,0.001366923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2976154,"threshold_uncertainty_score":0.9998519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07176778308177141,"score_gpt":0.2497722036665417,"score_spread":0.1780044205847703,"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."}}