{"id":"W7154622529","doi":"10.66573/001c.115975","title":"Analysis of Bivariate Excess Losses","year":2017,"lang":"en","type":"article","venue":"Variance","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bivariate analysis; Univariate; Joint probability distribution; Table (database); Reinsurance; Joint (building)","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":[0.002143577,0.0005183944,0.0006576649,0.001627467,0.0001964089,0.001364222,0.0004529309,0.0003081203,0.00279269],"category_scores_gemma":[0.008455736,0.0001730907,0.0004359112,0.001126401,0.0007329509,0.001504299,0.00100039,0.0007035332,0.0002474107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005361606,"about_ca_system_score_gemma":0.0004831713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009136891,"about_ca_topic_score_gemma":0.0003790325,"domain_scores_codex":[0.9992703,0.0002216774,0.000037996,0.0001058102,0.0002372695,0.0001269127],"domain_scores_gemma":[0.9967781,0.001928994,0.0005326153,0.0002195731,0.00039496,0.0001458007],"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":[0.000219841,0.0000570993,0.01822885,0.0001746256,0.0001651198,0.000646919,0.0001995094,0.4846177,0.007875763,0.4097786,0.002261805,0.07577421],"study_design_scores_gemma":[0.000008516273,0.00006209713,0.008248959,0.00004038114,0.00004482283,0.0003073402,0.000104359,0.8831088,0.001915189,0.1036003,0.002525067,0.00003417537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1740262,0.001427269,0.81729,0.0002643412,0.00004311253,0.00002522844,0.0002988192,0.0001871268,0.006437975],"genre_scores_gemma":[0.9780622,0.001016156,0.01794994,0.00003726187,0.00006590489,0.00003355532,0.0002057891,0.0000562016,0.002573046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00279269,"threshold_uncertainty_score":0.01133645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192718618563335,"score_gpt":0.4211983391074454,"score_spread":0.3019264772511119,"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."}}