{"id":"W3121949725","doi":"10.1515/demo-2020-0009","title":"Bayesian credibility premium with GB2 copulas","year":2020,"lang":"en","type":"article","venue":"Dependence Modeling","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Society of Actuaries","keywords":"Credibility; Credibility theory; Copula (linguistics); Bayesian probability; Econometrics; Mathematics; Estimator; Multivariate statistics; Measure (data warehouse); Statistics; Computer science; Data mining","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":[0.000320623,0.0001638729,0.0003174748,0.00005903305,0.0001338688,0.00007458519,0.0002959517,0.00007601492,0.0001076704],"category_scores_gemma":[0.00007893973,0.000173468,0.00006698928,0.0002435174,0.00002918295,0.0003470697,0.00007694786,0.0002127294,0.0003768385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000559851,"about_ca_system_score_gemma":0.00002309139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003996876,"about_ca_topic_score_gemma":0.00007157947,"domain_scores_codex":[0.9985237,0.000008133647,0.0004554935,0.0005979369,0.00008062334,0.0003341434],"domain_scores_gemma":[0.9993647,0.000009906644,0.0001459485,0.0003208352,0.00004249897,0.0001161399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004149918,0.0001946648,0.259074,0.0002907532,0.0001147637,0.000112663,0.004532743,0.4377122,0.00005657439,0.2884473,0.0006360851,0.008413225],"study_design_scores_gemma":[0.0003984495,0.0001028659,0.002174412,0.00002204125,0.000006925344,0.000001792807,0.0001578521,0.9796904,0.00004742604,0.01560759,0.001472206,0.000318053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.273758,0.0005577555,0.7049267,0.001118432,0.0001566091,0.0002812246,0.00003788913,0.0001004008,0.01906304],"genre_scores_gemma":[0.9955583,0.00009397657,0.00312569,0.0009036933,0.000166373,0.00002412259,0.000007958685,0.00002441123,0.00009542405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7218004,"threshold_uncertainty_score":0.7073821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05287538923967056,"score_gpt":0.2160616635285533,"score_spread":0.1631862742888828,"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."}}