{"id":"W4316038485","doi":"10.3390/math11020414","title":"Multivariate Extension of Raftery Copula","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Multivariate statistics; Estimator; Mathematics; Econometrics; Statistics; Tail dependence","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":[0.003018675,0.0008601582,0.000925851,0.001918403,0.0006970512,0.001508742,0.001313312,0.0007964787,0.004949669],"category_scores_gemma":[0.01135885,0.0003506237,0.001306405,0.001632955,0.00119833,0.002812493,0.001604696,0.001785387,0.0007485083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008085172,"about_ca_system_score_gemma":0.0007945464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001914598,"about_ca_topic_score_gemma":0.001468629,"domain_scores_codex":[0.9975727,0.0008555991,0.0001074061,0.0005432034,0.0006580693,0.0002630174],"domain_scores_gemma":[0.995648,0.001631089,0.0006528606,0.0005906773,0.001247751,0.00022957],"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":[0.0001252866,0.00007530764,0.005576158,0.0002560761,0.0002280646,0.001262848,0.0004977401,0.1518517,0.00605152,0.7273955,0.005753049,0.1009268],"study_design_scores_gemma":[0.00002120154,0.0001110864,0.006335142,0.00006843627,0.00005691688,0.001289095,0.0001189975,0.7293109,0.001554484,0.2411479,0.01986298,0.0001228194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02427149,0.001011396,0.9674304,0.0002991754,0.0001184005,0.00008015873,0.0001858429,0.0002008098,0.006402436],"genre_scores_gemma":[0.8186306,0.002307097,0.1652142,0.0003969005,0.0006371382,0.0002899992,0.0005466742,0.0002360649,0.01174133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004949669,"threshold_uncertainty_score":0.01655823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678748409941292,"score_gpt":0.418900816525983,"score_spread":0.2510259755318538,"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."}}