{"id":"W4213203740","doi":"10.1002/9780470057339.vnn079","title":"Copulas and Copula Models","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Copula (linguistics); Econometrics; Computer science; Mathematics","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":[0.001768971,0.001498387,0.001063063,0.002578431,0.0006583225,0.003697222,0.001142103,0.00143025,0.0173702],"category_scores_gemma":[0.009948232,0.0005172145,0.00124929,0.00317973,0.001603851,0.003525349,0.001580574,0.002564825,0.00349763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157411,"about_ca_system_score_gemma":0.000975166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002647254,"about_ca_topic_score_gemma":0.001620433,"domain_scores_codex":[0.9982488,0.000736999,0.00008067583,0.000317679,0.0004774347,0.0001384593],"domain_scores_gemma":[0.9964792,0.002011562,0.0003527681,0.0003444589,0.0006429824,0.0001689975],"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":[0.00001130925,0.00002130117,0.0003421983,0.0001817273,0.0000568699,0.0001305402,0.0001357753,0.01687304,0.0002545287,0.9393948,0.01821605,0.02438179],"study_design_scores_gemma":[0.000005546868,0.00001787959,0.0006057866,0.0001353615,0.0000249176,0.0001757092,0.0000707486,0.06847675,0.0002042709,0.8941007,0.03616183,0.00002049102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0152557,0.03065388,0.8041323,0.003831446,0.0007751778,0.00009292748,0.001569917,0.0007327169,0.1429559],"genre_scores_gemma":[0.7284892,0.04455654,0.1490508,0.001940145,0.003451844,0.0003876653,0.003281272,0.000949573,0.06789296],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0173702,"threshold_uncertainty_score":0.0581091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864304021616914,"score_gpt":0.2012687906610845,"score_spread":0.1726257504449154,"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."}}