{"id":"W2080781888","doi":"10.2139/ssrn.1993084","title":"Optimal Risk Transfer with Multiple Reinsurers","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004944088,0.0001724744,0.0002273498,0.000263586,0.000358327,0.0001244671,0.0005876818,0.00008775505,0.0002838824],"category_scores_gemma":[0.0003049349,0.0001066826,0.0001434179,0.0005820136,0.00008790791,0.0005431921,0.00001596906,0.001349339,0.0001439841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153122,"about_ca_system_score_gemma":0.001149232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001442563,"about_ca_topic_score_gemma":0.001637254,"domain_scores_codex":[0.9964481,0.0002355302,0.0004998101,0.0003201115,0.0009361248,0.001560303],"domain_scores_gemma":[0.9988845,0.0001435073,0.0001953766,0.0003287766,0.0002932512,0.0001546121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002996238,0.0004094634,0.5893027,0.00000108296,0.0005663611,0.00006542143,0.007058729,0.03032444,0.00012602,0.04904803,0.001583107,0.3185185],"study_design_scores_gemma":[0.01709426,0.009262421,0.1571047,0.00006744044,0.0007389091,0.006819015,0.03794297,0.03356183,0.005240962,0.6601047,0.06901444,0.003048383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5231803,0.0005061393,0.4721165,0.00009392775,0.0002004572,0.0001034992,0.000003875528,0.00002903887,0.00376629],"genre_scores_gemma":[0.9875544,0.006158246,0.003192307,0.00003656344,0.0001238136,0.000003454411,0.000001534621,0.00002321709,0.002906444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6110566,"threshold_uncertainty_score":0.5862283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427966090304749,"score_gpt":0.277325780223567,"score_spread":0.2430461193205195,"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."}}