{"id":"W3122354892","doi":"","title":"Optimal Reinsurance with Expectile","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinsurance; Actuarial science; Treaty; Margin (machine learning); Economics; Business; Computer science; Law; Political 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":[0.003891089,0.0009317341,0.001106994,0.0006023151,0.0004826033,0.001428848,0.001053465,0.001648465,0.002758847],"category_scores_gemma":[0.01011366,0.0004596578,0.00093799,0.0002573509,0.001108163,0.002932954,0.001520173,0.002020166,0.0002481187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203395,"about_ca_system_score_gemma":0.001076068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007345137,"about_ca_topic_score_gemma":0.00044013,"domain_scores_codex":[0.9984655,0.0005571803,0.00007071676,0.0002291315,0.000323666,0.0003538257],"domain_scores_gemma":[0.997547,0.001130954,0.0006173071,0.0002000891,0.0002234319,0.0002812885],"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":[0.000303667,0.0003091005,0.001893049,0.0001986644,0.0001524156,0.0003437125,0.0002472484,0.3552867,0.007772259,0.60466,0.002394938,0.02643821],"study_design_scores_gemma":[0.0001390034,0.0007609208,0.002936769,0.00009360375,0.00009340214,0.0002692732,0.0001593865,0.7353093,0.0036638,0.2527098,0.003795466,0.00006934559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3622485,0.0013652,0.6104749,0.003142759,0.0001475065,0.0001479109,0.0001274081,0.0002731688,0.02207254],"genre_scores_gemma":[0.9734434,0.000303438,0.01916088,0.0002023717,0.00009241265,0.00006669475,0.00004574657,0.00005759875,0.00662749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003891089,"threshold_uncertainty_score":0.02057832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007444034245501408,"score_gpt":0.1847028829110004,"score_spread":0.177258848665499,"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."}}