{"id":"W4210246463","doi":"10.2139/ssrn.3979049","title":"Bowley vs. Pareto Optima in Reinsurance Contracting","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinsurance; Pareto principle; Pareto optimal; Economics; Mathematical optimization; Mathematical economics; Computer science; Mathematics; Actuarial science; Multi-objective optimization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01016396,0.001027467,0.002684204,0.001362384,0.001654093,0.005507255,0.001740346,0.006615885,0.01798905],"category_scores_gemma":[0.03484019,0.001002511,0.002010931,0.001384325,0.004370118,0.007512604,0.002640923,0.006777062,0.00130353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760522,"about_ca_system_score_gemma":0.002237361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405791,"about_ca_topic_score_gemma":0.001755165,"domain_scores_codex":[0.9968544,0.001497574,0.0002074811,0.0004702404,0.0004456314,0.0005246916],"domain_scores_gemma":[0.981761,0.01346318,0.001598696,0.00138432,0.000916702,0.0008760692],"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":[0.00006880299,0.00003028003,0.0003567138,0.00008017723,0.00004816305,0.00003466901,0.0001169868,0.01574633,0.0001084227,0.9710851,0.003941942,0.008382468],"study_design_scores_gemma":[0.00004172058,0.00001964618,0.000204216,0.00004899622,0.00002036427,0.00002442427,0.0000444198,0.01366184,0.00004077944,0.9844624,0.001418559,0.00001261641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1896211,0.01787901,0.4575812,0.05391841,0.001243679,0.0002221833,0.0008423371,0.0004307275,0.2782612],"genre_scores_gemma":[0.9346548,0.005916442,0.02188094,0.002897392,0.0009405772,0.0001731476,0.000129411,0.0001904551,0.03321685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01798905,"threshold_uncertainty_score":0.06017935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300721296548787,"score_gpt":0.2153135624687931,"score_spread":0.2023063495033052,"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."}}