{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001862923,0.0001518761,0.000326367,0.0001853421,0.0001695277,0.00004761632,0.0002543907,0.00006457769,0.0002125891],"category_scores_gemma":[0.000590161,0.0001233231,0.00005310871,0.0004802461,0.00007361163,0.00009753597,0.000006042995,0.000185101,0.00001042297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635607,"about_ca_system_score_gemma":0.001413963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004341941,"about_ca_topic_score_gemma":0.001803014,"domain_scores_codex":[0.9985284,0.00004297206,0.0007506679,0.0001395294,0.0002873441,0.0002510688],"domain_scores_gemma":[0.9969317,0.0003123758,0.0004862303,0.0002876838,0.0008510358,0.001130985],"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":[0.00001422294,0.00004589917,0.00002171311,0.00001398286,0.00001901959,0.000009844942,0.0001638886,0.0002606687,0.00006988899,0.9432697,0.04411279,0.01199842],"study_design_scores_gemma":[0.0006032242,0.0002461973,0.003444179,0.0001691118,0.0001304718,0.0000628991,0.00008672362,0.005573221,0.0001898586,0.9784979,0.01079313,0.000203117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001893024,0.00001992017,0.9928126,0.002341093,0.00002819385,0.000318319,0.003349021,0.00001008501,0.0009314799],"genre_scores_gemma":[0.4029702,0.000002175592,0.5965816,0.00009844248,0.00004015503,0.000007500317,0.00008691301,0.00001016552,0.000202926],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4027809,"threshold_uncertainty_score":0.5028971,"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."}}