{"id":"W2030880494","doi":"10.1016/s0167-6687(02)00094-x","title":"On two dependent individual risk models","year":2002,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Portfolio; Class (philosophy); Aggregate (composite); Econometrics; Actuarial science; Cumulative distribution function; Risk model; Function (biology); Copula (linguistics); Risk factor; Mathematics; Economics; Computer science; Financial economics; Statistics; Artificial intelligence; Probability density function","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003869646,0.001753644,0.002776141,0.001481186,0.0009188937,0.003715767,0.003079047,0.005668061,0.006841101],"category_scores_gemma":[0.01182908,0.00100669,0.001821111,0.001654465,0.002997723,0.004922473,0.002224342,0.004785649,0.0008551918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00221498,"about_ca_system_score_gemma":0.0009582534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003671002,"about_ca_topic_score_gemma":0.001677956,"domain_scores_codex":[0.9980412,0.0009703984,0.00006732826,0.0003193871,0.0002813347,0.0003203339],"domain_scores_gemma":[0.9896864,0.007693647,0.0008387276,0.000562673,0.0005237682,0.0006948539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001181997,0.0001309069,0.0008232815,0.00005797531,0.00007611974,0.0002779627,0.0001847225,0.1721601,0.0002667536,0.8192855,0.002022749,0.004595711],"study_design_scores_gemma":[0.00005240585,0.00003806547,0.0003381107,0.00001831966,0.00004044037,0.0001029061,0.00004073334,0.717948,0.00008279431,0.2801727,0.001132153,0.00003336759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1921055,0.001938818,0.7476426,0.0118208,0.0004477286,0.0001150428,0.0007355072,0.0002071557,0.04498682],"genre_scores_gemma":[0.9125639,0.001910903,0.03493004,0.0006295264,0.0004978311,0.0001670563,0.000473996,0.00009004684,0.04873675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006841101,"threshold_uncertainty_score":0.02288574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576768582009677,"score_gpt":0.3094924669750539,"score_spread":0.1518156087740863,"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."}}