{"id":"W2053498219","doi":"10.1016/j.insmatheco.2008.10.005","title":"Editorial to the special issue on modeling and measurement of multivariate risk in insurance and finance","year":2008,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Multivariate statistics; Actuarial science; Econometrics; Economics; Business; Mathematics; Statistics","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":[0.008383811,0.005098764,0.005889887,0.003989162,0.002228457,0.006738534,0.00432751,0.01608043,0.0115081],"category_scores_gemma":[0.03239363,0.001641033,0.005200509,0.001399097,0.002544932,0.004597541,0.001516285,0.02120664,0.005090858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276903,"about_ca_system_score_gemma":0.001769798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001933058,"about_ca_topic_score_gemma":0.003038085,"domain_scores_codex":[0.9958237,0.0009046606,0.0007120438,0.0008354604,0.001432464,0.0002916144],"domain_scores_gemma":[0.9607888,0.02409109,0.001834561,0.00101902,0.009603668,0.002662868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006786692,0.00003807838,0.00009641134,0.0001887475,0.00006104298,0.0001160247,0.00001326726,0.00007465432,0.00006225853,0.0005025803,0.9956736,0.003105411],"study_design_scores_gemma":[0.0003289525,0.0001728128,0.003293025,0.0009774895,0.0005137144,0.0008872085,0.0001335862,0.002895007,0.0004458842,0.009459344,0.980794,0.00009894633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006962145,0.002801767,0.0003082278,0.02956549,0.9666536,0.00001543505,0.00007815054,0.00003755544,0.0004701761],"genre_scores_gemma":[0.0004176583,0.001260663,0.00009614857,0.007429808,0.9888049,0.0000132924,0.0000282223,0.00001965651,0.001929642],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01608043,"threshold_uncertainty_score":0.04433835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754154638967685,"score_gpt":0.2544922538040683,"score_spread":0.2269507074143915,"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."}}