{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004008708,0.0002994173,0.0006718782,0.0009073049,0.0001690102,0.0001581097,0.003893896,0.0003368462,0.006508124],"category_scores_gemma":[0.00622491,0.0002031994,0.0001998668,0.002153922,0.002507346,0.0003941327,0.0005322152,0.0002850297,0.001131703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248303,"about_ca_system_score_gemma":0.00233611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333842,"about_ca_topic_score_gemma":0.0004438909,"domain_scores_codex":[0.9934767,0.00009742054,0.0008372974,0.001148204,0.003908557,0.0005317963],"domain_scores_gemma":[0.9967384,0.000392382,0.0007983269,0.001534114,0.0002460524,0.0002907653],"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":[0.00005796942,0.0003279411,0.0006080366,0.00003985766,0.00002419371,0.00001720492,0.001798837,0.0003229383,0.0002307656,0.06706772,0.8441083,0.08539626],"study_design_scores_gemma":[0.0002893863,0.00007739424,0.0003584243,0.00008002891,0.00001376241,0.000002910122,0.00004452495,0.00002946087,0.0001244899,0.0950435,0.9036509,0.0002852431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005075288,0.0002590063,0.002709178,0.0002245265,0.004221343,0.0004244233,0.00006175095,0.0001001906,0.991492],"genre_scores_gemma":[0.02547978,0.0007093428,0.009971618,0.0001090524,0.001495245,0.00001560517,0.000004938638,0.0001610045,0.9620534],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08511101,"threshold_uncertainty_score":0.999646,"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."}}