{"id":"W4255586547","doi":"10.1002/9780470012505.tac059","title":"Copulas","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bivariate analysis; Copula (linguistics); Construct (python library); Mathematical economics; Mathematics; Econometrics; Pure mathematics; Calculus (dental); Computer science; Statistics; Medicine; Programming language","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":[0.001650874,0.001573848,0.001170505,0.001900283,0.0008859902,0.004086792,0.001313105,0.001439508,0.03210245],"category_scores_gemma":[0.007221775,0.00039816,0.0009249939,0.002265903,0.00195681,0.003174893,0.001958434,0.002787175,0.006868922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408899,"about_ca_system_score_gemma":0.0008496544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165642,"about_ca_topic_score_gemma":0.0006791056,"domain_scores_codex":[0.9982481,0.000647552,0.0000924961,0.0004035795,0.0004678535,0.0001404306],"domain_scores_gemma":[0.9973494,0.001309856,0.0002250929,0.0003932625,0.0005931556,0.0001292238],"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":[0.000007246061,0.00001314734,0.0002137495,0.0001006725,0.00002517335,0.0001020829,0.00008906279,0.005550703,0.000179059,0.957219,0.01794919,0.01855093],"study_design_scores_gemma":[0.000005563545,0.00001904774,0.0003914456,0.0001468989,0.00001709561,0.000268623,0.00006557381,0.0198011,0.0002090135,0.8964495,0.08261076,0.00001534144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009856919,0.02250519,0.6307012,0.00560268,0.00136086,0.0001368899,0.001870083,0.0005890181,0.3273771],"genre_scores_gemma":[0.6320904,0.04043964,0.1409114,0.003882572,0.006079182,0.0005963627,0.003327922,0.0007152106,0.1719572],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03210245,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04951922234393139,"score_gpt":0.3643261265368217,"score_spread":0.3148069041928903,"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."}}