{"id":"W4396629565","doi":"10.2139/ssrn.4816584","title":"Pareto Efficiency and Financial Fairness Under Limited Expected Loss Constraint","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Pareto principle; Constraint (computer-aided design); Economics; Pareto optimal; Pareto efficiency; Microeconomics; Finance; Multi-objective optimization; Mathematical optimization; Mathematics; Operations management","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":[0.01243366,0.0008736145,0.002407851,0.00187143,0.001402127,0.005526588,0.002088483,0.002852038,0.006061968],"category_scores_gemma":[0.04700776,0.0005913081,0.001169994,0.001921207,0.004494003,0.006063249,0.003799544,0.002958637,0.0006586937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696988,"about_ca_system_score_gemma":0.002882836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147272,"about_ca_topic_score_gemma":0.0005820997,"domain_scores_codex":[0.9927659,0.003460103,0.0003100274,0.0009185848,0.001557726,0.0009876026],"domain_scores_gemma":[0.9714341,0.02132232,0.002170118,0.001854462,0.001998284,0.001220683],"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":[0.0001064811,0.00005017992,0.0005818817,0.00005745201,0.00004055084,0.00005871642,0.000105242,0.04026661,0.0003259285,0.9476745,0.001073802,0.009658648],"study_design_scores_gemma":[0.00002004796,0.00001907639,0.0002429678,0.00001790151,0.000009762145,0.00003928352,0.00003894738,0.04958964,0.0001613912,0.9491392,0.0007123361,0.000009498574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2009286,0.001730055,0.7060425,0.006358786,0.0003454115,0.0001262761,0.0003366705,0.0001092086,0.08402251],"genre_scores_gemma":[0.9494181,0.0008082383,0.03263609,0.0005679036,0.000452508,0.0001792404,0.00009728155,0.00007974006,0.01576087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01243366,"threshold_uncertainty_score":0.06575626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106901399878645,"score_gpt":0.3253062649164938,"score_spread":0.2942372509177074,"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."}}