{"id":"W4385291841","doi":"10.48550/arxiv.2307.13081","title":"Fairness Under Demographic Scarce Regime","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Classifier (UML); Proxy (statistics); Scarcity; Fairness measure; Data mining; Machine learning; Artificial intelligence; Microeconomics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01885048,0.001259517,0.002372114,0.001115192,0.002028534,0.003308262,0.00277426,0.002164135,0.002677153],"category_scores_gemma":[0.0645736,0.0005822529,0.001188903,0.001008349,0.002385894,0.006904797,0.00302658,0.003012504,0.0004679697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002768754,"about_ca_system_score_gemma":0.002702136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003914926,"about_ca_topic_score_gemma":0.002121054,"domain_scores_codex":[0.9893405,0.004332198,0.0005089359,0.003301953,0.001516997,0.0009993861],"domain_scores_gemma":[0.9581515,0.02911428,0.00287763,0.005942813,0.002384846,0.001528884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001021057,0.0002941834,0.03248168,0.0002741656,0.0002485795,0.0004607553,0.0009965472,0.5691845,0.002368638,0.2831126,0.009240406,0.1003168],"study_design_scores_gemma":[0.00003425308,0.0000801737,0.00255122,0.00004565524,0.00004080479,0.0001644675,0.00009046603,0.7483138,0.001015981,0.2449981,0.002626751,0.00003832868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1532657,0.001167508,0.8316199,0.003123902,0.0002876477,0.0001871826,0.001254305,0.0006055533,0.00848827],"genre_scores_gemma":[0.9581612,0.0003474208,0.03727117,0.0005897654,0.0003757439,0.0001663698,0.0004833888,0.00009767189,0.002507142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01885048,"threshold_uncertainty_score":0.09969205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311969628857901,"score_gpt":0.2406693803141218,"score_spread":0.1094724174283317,"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."}}