{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005279471,0.001656438,0.003335494,0.000837718,0.0006368261,0.00243486,0.002165862,0.00369951,0.00916055],"category_scores_gemma":[0.01411987,0.0009809294,0.001247184,0.0007976388,0.001475043,0.004241021,0.002383878,0.002559518,0.0008341896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186643,"about_ca_system_score_gemma":0.0013261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441387,"about_ca_topic_score_gemma":0.0005831645,"domain_scores_codex":[0.9977586,0.001055177,0.00009201359,0.0003782796,0.0001999831,0.0005159307],"domain_scores_gemma":[0.9937309,0.004223174,0.0005810822,0.0005386648,0.0004029233,0.0005233979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001466295,0.0004741647,0.0013341,0.0001383941,0.0001469416,0.000713474,0.00008552901,0.9078612,0.001925094,0.04443604,0.003039265,0.03837956],"study_design_scores_gemma":[0.0001237155,0.0003875792,0.0006991565,0.00002765374,0.00008276688,0.0001502447,0.00007081215,0.9555008,0.0009131861,0.04148388,0.0005272173,0.00003304484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4838334,0.001640513,0.481906,0.005523244,0.000446732,0.0003612595,0.0003873443,0.0007369549,0.02516467],"genre_scores_gemma":[0.9742203,0.000246534,0.01278428,0.000149508,0.000137581,0.00008284389,0.00004524059,0.00002922557,0.01230443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00916055,"threshold_uncertainty_score":0.03064507,"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."}}