{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003203934,0.00009846375,0.0002186817,0.00007692855,0.00007201381,0.00001198118,0.0001149219,0.00005385269,0.0002778037],"category_scores_gemma":[0.001595597,0.00008553682,0.0000617438,0.0004231131,0.00006063282,0.00003461389,0.00005489746,0.00005977189,0.000547491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000165769,"about_ca_system_score_gemma":0.00001588465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002445051,"about_ca_topic_score_gemma":5.553327e-7,"domain_scores_codex":[0.9990118,0.00002293793,0.0004367705,0.0001296015,0.0002356581,0.0001632817],"domain_scores_gemma":[0.998467,0.000829572,0.0001627994,0.0003503331,0.0001294775,0.00006077913],"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":[0.00000253885,0.0001774182,0.00001581526,0.0002299593,0.00001257793,0.000002226467,0.0003638362,0.00001150478,0.004787605,0.9813377,0.01210917,0.000949655],"study_design_scores_gemma":[0.0003523138,0.00001842085,0.002910204,0.0001094433,0.00004465664,0.000006086032,0.0003162135,0.08357413,0.003820942,0.907956,0.0007418047,0.0001497818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1350888,0.000005047376,0.8601647,0.0004201132,0.00007801504,0.0003686195,0.0001972765,0.0004245697,0.003252862],"genre_scores_gemma":[0.7932221,0.000006226596,0.2052792,0.00004444482,0.00002482678,0.000066492,0.00008828366,0.00002944048,0.001238981],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6581333,"threshold_uncertainty_score":0.7037071,"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."}}