{"id":"W4232831374","doi":"10.1002/cjs.10023","title":"A new class of multivariate skew distributions with applications to Bayesian regression models","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Skew; Bayesian probability; Statistics; Class (philosophy); Econometrics; Regression; Mathematics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0122131,0.001244149,0.001770746,0.003199857,0.001168633,0.003273771,0.002471448,0.002392859,0.007320474],"category_scores_gemma":[0.05258292,0.000917146,0.002223298,0.003715045,0.003121654,0.005736923,0.004303199,0.004488027,0.001378158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358673,"about_ca_system_score_gemma":0.00212159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742678,"about_ca_topic_score_gemma":0.001764806,"domain_scores_codex":[0.9953811,0.002317295,0.0002443017,0.0006726454,0.001120364,0.0002642823],"domain_scores_gemma":[0.9702142,0.02024246,0.003217771,0.002176678,0.00304488,0.001104101],"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":[0.00006120367,0.00004975254,0.003149376,0.0001490284,0.00006873784,0.0002849387,0.0002593639,0.0308456,0.0006689259,0.9035662,0.004517785,0.05637906],"study_design_scores_gemma":[0.00002797039,0.00003535135,0.0006102382,0.00007620978,0.00002429464,0.0004218674,0.00005971845,0.2414605,0.0002091731,0.7512235,0.005813157,0.00003797746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0100691,0.001223498,0.9842307,0.0008092837,0.0001652891,0.00005143224,0.0002208504,0.0002336008,0.00299625],"genre_scores_gemma":[0.4129581,0.007175861,0.5589849,0.001641682,0.002339646,0.000671571,0.001253089,0.0007533593,0.01422179],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0122131,"threshold_uncertainty_score":0.0645898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04731134648246769,"score_gpt":0.3309344100618327,"score_spread":0.283623063579365,"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."}}