{"id":"W1493283065","doi":"10.1002/9780470057339.vam006","title":"Matric T‐Distribution","year":2006,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Distribution (mathematics); Random variable; Degrees of freedom (physics and chemistry); Statistics; Variance (accounting); Gaussian; Normal distribution; Sampling (signal processing); Variable (mathematics); Applied mathematics; Mathematical analysis; Physics","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":[0.001746037,0.001308129,0.001227907,0.002574062,0.001192904,0.003806061,0.001644972,0.001543319,0.07019492],"category_scores_gemma":[0.0128732,0.0003968078,0.001389222,0.002555416,0.002952947,0.004452398,0.002311686,0.003299489,0.02978879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569181,"about_ca_system_score_gemma":0.001417794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199924,"about_ca_topic_score_gemma":0.001202767,"domain_scores_codex":[0.9969674,0.000791516,0.0001530957,0.0008071227,0.0009659146,0.000315065],"domain_scores_gemma":[0.9947037,0.001871076,0.0005143976,0.0009112696,0.001728636,0.0002709036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005040466,0.00003996318,0.0006539825,0.0001405067,0.00003554015,0.0003272341,0.0001217107,0.009288296,0.00079807,0.8876753,0.03611851,0.06475049],"study_design_scores_gemma":[0.00002420982,0.00005431461,0.0006146106,0.00008650246,0.00001689963,0.000786727,0.00007254587,0.06068701,0.001094243,0.8194281,0.1170859,0.00004885838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006702848,0.002294203,0.9154232,0.002575465,0.001198485,0.0001762047,0.00313585,0.001242267,0.06725162],"genre_scores_gemma":[0.4671711,0.008517319,0.2916213,0.003443836,0.004503797,0.001027822,0.01056602,0.001998223,0.2111507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07019492,"threshold_uncertainty_score":0.2348254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986856803409429,"score_gpt":0.2962679134999912,"score_spread":0.2763993454658968,"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."}}