{"id":"W1978467022","doi":"10.1080/02664760802443988","title":"Default Bayesian goodness-of-fit tests for the skew-normal model","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Arizona; Ryerson University","keywords":"Goodness of fit; Skewness; Statistics; Mathematics; Skew; Bayesian probability; Econometrics; Asymmetry; Kurtosis; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.08346078,0.001483563,0.003595046,0.004830542,0.001690216,0.003390297,0.005276977,0.004369067,0.006330422],"category_scores_gemma":[0.380663,0.0009152553,0.00250354,0.003358678,0.005405282,0.00844605,0.004811732,0.0055581,0.002158088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111392,"about_ca_system_score_gemma":0.001523783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000556513,"about_ca_topic_score_gemma":0.0004921378,"domain_scores_codex":[0.9163275,0.06207104,0.003902097,0.007182081,0.009228789,0.001288461],"domain_scores_gemma":[0.5976768,0.3295967,0.01528631,0.04234621,0.01255498,0.002538927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004448372,0.0006473596,0.1541625,0.00149486,0.00306282,0.00167434,0.001859244,0.1310613,0.00700362,0.3116395,0.01073111,0.372215],"study_design_scores_gemma":[0.0004420801,0.001204941,0.03085463,0.000538134,0.0003882027,0.00242181,0.0006252855,0.4509692,0.005473596,0.5012875,0.005441952,0.0003526802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0806409,0.0007551902,0.9131571,0.0006213373,0.000142683,0.0003357502,0.0005979977,0.001032355,0.002716804],"genre_scores_gemma":[0.7697492,0.0003711532,0.2249141,0.0006982856,0.0002271845,0.001257052,0.00164777,0.0003514017,0.0007838419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08346078,"threshold_uncertainty_score":0.4413881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587324597484442,"score_gpt":0.3925383137243031,"score_spread":0.233805853975859,"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."}}