{"id":"W3125131255","doi":"10.2139/ssrn.2887632","title":"Pareto-Optimal Reinsurance Arrangements Under General Model Settings","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinsurance; Pareto principle; Pareto optimal; Actuarial science; Economics; Business; Microeconomics; 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":[0.007619699,0.001707246,0.004551298,0.001886989,0.001850229,0.005505242,0.002869875,0.005160093,0.01083071],"category_scores_gemma":[0.02412563,0.001708555,0.002500906,0.001569073,0.003250918,0.00802675,0.00277478,0.003885573,0.0009604573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003447545,"about_ca_system_score_gemma":0.003696067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004081511,"about_ca_topic_score_gemma":0.004602749,"domain_scores_codex":[0.9958152,0.002035062,0.0001542861,0.0004355668,0.000370518,0.001189318],"domain_scores_gemma":[0.98039,0.01396407,0.002456526,0.0008713421,0.0009087393,0.001409323],"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":[0.0002661768,0.0002063569,0.0008822383,0.0001380764,0.0001066427,0.0002928072,0.0001847351,0.3967609,0.0005363286,0.5907851,0.003586367,0.006254273],"study_design_scores_gemma":[0.0001547713,0.00009503697,0.0006780581,0.00005955554,0.00005867261,0.0001098697,0.0002473275,0.4138886,0.000217187,0.5834564,0.0009829435,0.0000516029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4781801,0.001903938,0.4379952,0.00800833,0.0001778353,0.0004837106,0.001624574,0.0005927572,0.07103357],"genre_scores_gemma":[0.9678016,0.001141158,0.01580949,0.0003664726,0.0001197985,0.0001952724,0.0002495177,0.00007661307,0.01424011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083071,"threshold_uncertainty_score":0.04029727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494004904873093,"score_gpt":0.210940902606038,"score_spread":0.196000853557307,"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."}}