{"id":"W4290791833","doi":"10.1016/j.ejor.2022.08.003","title":"Bowley vs. Pareto optima in reinsurance contracting","year":2022,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinsurance; Pareto principle; Mathematical economics; Pareto optimal; Competitive equilibrium; Pareto efficiency; Economics; Status quo; Mathematical optimization; Popularity; Microeconomics; Computer science; Multi-objective optimization; Mathematics; Actuarial science","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":[0.01127105,0.001294063,0.002857007,0.001830661,0.001500678,0.005142028,0.001862551,0.005526415,0.01459398],"category_scores_gemma":[0.03624855,0.001102549,0.002018106,0.001579391,0.00417451,0.007898454,0.003060586,0.006365109,0.001017796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660229,"about_ca_system_score_gemma":0.002369151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700846,"about_ca_topic_score_gemma":0.00212912,"domain_scores_codex":[0.9964513,0.001929677,0.0001808388,0.0004126854,0.0005293099,0.0004962344],"domain_scores_gemma":[0.9865994,0.01015487,0.0009708108,0.0008569921,0.0007928323,0.0006250998],"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":[0.0001027797,0.00003737718,0.0003732062,0.0001294248,0.00007188266,0.00004157778,0.000123171,0.05346733,0.0001495624,0.9276167,0.004440664,0.01344632],"study_design_scores_gemma":[0.00004967056,0.00003726197,0.0002652708,0.00009828968,0.00003503296,0.00003355213,0.00006321318,0.0476542,0.00009390072,0.9494819,0.002165338,0.00002243603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1485116,0.01855008,0.612665,0.03043372,0.001081977,0.0002242991,0.0006533708,0.0003201763,0.1875598],"genre_scores_gemma":[0.9216966,0.007601154,0.03856049,0.002242218,0.0007485757,0.0002025155,0.000133766,0.0002146909,0.02859997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01459398,"threshold_uncertainty_score":0.05960768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2460165264471593,"score_gpt":0.4684925968183735,"score_spread":0.2224760703712142,"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."}}