{"id":"W4393146360","doi":"10.1609/aaai.v38i20.30273","title":"Temporal Fairness in Multiwinner Voting","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Alan Turing Institute","keywords":"Voting; Computer science; Business; Political science; Politics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01021775,0.0004410965,0.001488141,0.0007695646,0.002111512,0.003657625,0.002053805,0.00162133,0.006220638],"category_scores_gemma":[0.03442628,0.0004025931,0.001174273,0.001148638,0.002793289,0.005955988,0.002071763,0.002304974,0.0006359081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877808,"about_ca_system_score_gemma":0.001924125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002392427,"about_ca_topic_score_gemma":0.002807307,"domain_scores_codex":[0.9906673,0.004495324,0.000451582,0.002072361,0.001159316,0.001154033],"domain_scores_gemma":[0.9800223,0.01356988,0.001612742,0.00273196,0.001253022,0.0008101268],"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":[0.0001159459,0.00004303017,0.001523953,0.00006512964,0.00003980991,0.000101659,0.0003309512,0.03109701,0.0006382003,0.9490381,0.0009367133,0.01606951],"study_design_scores_gemma":[0.0000263525,0.00003575449,0.0004651109,0.00001765501,0.00001460813,0.00007587381,0.00009806858,0.1107166,0.0003576769,0.8859152,0.002257827,0.00001929426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1296155,0.0007328751,0.8426638,0.001649876,0.0002057653,0.000125879,0.0002557296,0.0001721806,0.0245784],"genre_scores_gemma":[0.939313,0.0002663701,0.05303559,0.0002409383,0.0001511453,0.0001367657,0.0001402394,0.00006631557,0.0066496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01021775,"threshold_uncertainty_score":0.05403733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117380017527361,"score_gpt":0.2837086741242278,"score_spread":0.1719706723714917,"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."}}