{"id":"W4410807528","doi":"10.2139/ssrn.5266857","title":"Marginal Fairness: Fair Decision-Making under Risk Measures ","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Actuarial science; Business; Risk analysis (engineering)","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008743051,0.0004472815,0.0007424577,0.0003390829,0.002294642,0.0006150862,0.001566965,0.0008625526,0.0003595373],"category_scores_gemma":[0.001083073,0.0004589334,0.0006463439,0.0002872273,0.0003489195,0.0002836875,0.0004600385,0.007777491,0.000156879],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00631131,"about_ca_system_score_gemma":0.0193002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005758328,"about_ca_topic_score_gemma":0.1205338,"domain_scores_codex":[0.9933813,0.0009602109,0.0007700209,0.0006637502,0.0008337722,0.003390949],"domain_scores_gemma":[0.9974776,0.0006664995,0.0008325941,0.0004389499,0.0003741278,0.0002102602],"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":[0.0001403608,0.0001072347,0.007688859,0.00001936236,0.001019476,0.000008421987,0.01238855,0.001055775,8.985031e-7,0.7775992,0.001916215,0.1980556],"study_design_scores_gemma":[0.0002730767,0.00002752608,0.0003910031,0.0002997186,0.0001747744,0.00001133253,0.0202238,0.00002759186,4.983084e-7,0.9088233,0.06929418,0.0004531736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3321744,0.05248416,0.3623985,0.006874352,0.01095094,0.001450817,0.0001186117,0.0005656651,0.2329826],"genre_scores_gemma":[0.9252179,0.0540236,0.000833232,0.000166051,0.002671054,0.00001942784,0.000007161098,0.00003949974,0.0170221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5930435,"threshold_uncertainty_score":0.9997863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467272412009172,"score_gpt":0.3421181073688297,"score_spread":0.317445383248738,"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."}}