{"id":"W2578066853","doi":"","title":"CHOICE OF PARAMETRIC FAMILIES OF COPULAS","year":2008,"lang":"en","type":"article","venue":"","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Copula (linguistics); Nonparametric statistics; Mathematics; Parametric statistics; Hellinger distance; Econometrics; Smoothing; Statistics","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":[0.00879012,0.0005978232,0.0008837112,0.001263999,0.0009013003,0.001580843,0.001276814,0.001147248,0.002014421],"category_scores_gemma":[0.04027363,0.0005433076,0.001100906,0.0008122416,0.001042941,0.002401744,0.001312607,0.001689253,0.0003503245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006018382,"about_ca_system_score_gemma":0.0007676504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005022869,"about_ca_topic_score_gemma":0.00043723,"domain_scores_codex":[0.9970176,0.001888431,0.0001104194,0.0002575225,0.0005399327,0.0001860607],"domain_scores_gemma":[0.9791031,0.01601245,0.001056088,0.002201034,0.001208406,0.0004189023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003111887,0.000139988,0.01058065,0.0001522078,0.0001594387,0.0005839822,0.0004841014,0.5002869,0.004480795,0.419792,0.002478054,0.06055072],"study_design_scores_gemma":[0.00003633925,0.00009739663,0.001261716,0.00003953585,0.00002917202,0.0002617277,0.0001634882,0.8853337,0.001687396,0.1088407,0.002211149,0.00003761394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.196842,0.000557351,0.7972087,0.0003516548,0.00002346922,0.0000906241,0.0001496268,0.000221222,0.004555424],"genre_scores_gemma":[0.883661,0.0005140242,0.1144413,0.00007479961,0.00001925363,0.0002189218,0.0002133866,0.00007941158,0.0007778481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00879012,"threshold_uncertainty_score":0.04648715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09391300346303681,"score_gpt":0.2467817465711315,"score_spread":0.1528687431080947,"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."}}