{"id":"W2041227709","doi":"10.1007/bf02595728","title":"Skewed multivariate models related to hidden truncation and/or selective reporting","year":2002,"lang":"en","type":"article","venue":"Test","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":275,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Univariate; Multivariate statistics; Skew normal distribution; Mathematics; Univariate distribution; Econometrics; Statistics; Bivariate analysis; Multivariate normal distribution; Skew; Truncation (statistics); Distribution (mathematics); Truncated normal distribution; Marginal distribution; Multivariate stable distribution; Normal distribution; Multivariate analysis; Inference; Normal-Wishart distribution; Computer science; Random variable; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0001945687,0.00008897564,0.0001370484,0.00004017333,0.0001400748,0.0000295213,0.00005059058,0.00005165744,0.0003644075],"category_scores_gemma":[0.008875215,0.00007701777,0.0000194167,0.0003060936,0.00002423022,0.00008286722,0.00002240711,0.00008447743,0.0001564567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005378472,"about_ca_system_score_gemma":0.00001203758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001678347,"about_ca_topic_score_gemma":0.00000340976,"domain_scores_codex":[0.9989867,0.00002313213,0.0005345849,0.000200875,0.0001192379,0.0001355329],"domain_scores_gemma":[0.9985177,0.0007691848,0.0002982979,0.0001668061,0.0001461111,0.0001018929],"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":[0.000009131412,0.0003242168,0.0002596361,0.00003320221,0.00002085645,0.000005068151,0.001850268,0.00005311294,0.00207326,0.9726201,0.009575395,0.01317572],"study_design_scores_gemma":[0.000514129,0.00005417113,0.0175922,0.00004268756,0.00004459953,0.00003450828,0.0001161292,0.4408461,0.0005663676,0.5397248,0.0002420214,0.0002222992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07283471,0.00001368739,0.8944255,0.003677283,0.0000454575,0.001000851,0.000158264,0.0006332716,0.02721105],"genre_scores_gemma":[0.9315528,0.000001886841,0.06589706,0.0001170064,0.00001169089,0.00009529904,0.00002521254,0.00001298361,0.002286037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8587181,"threshold_uncertainty_score":0.9994735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686814069343392,"score_gpt":0.3912603568848008,"score_spread":0.2225789499504615,"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."}}