{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002601618,0.0003096676,0.0006010616,0.0004423104,0.00002328494,0.000009180422,0.0002776216,0.0004681942,0.002006621],"category_scores_gemma":[0.001917242,0.0002866166,0.0001326959,0.0007527405,0.0001411375,0.00001947382,0.00008339244,0.0002698601,0.0001154406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006197721,"about_ca_system_score_gemma":0.00003303171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000976642,"about_ca_topic_score_gemma":0.00001008408,"domain_scores_codex":[0.9983121,0.0001048679,0.0005013221,0.0003379205,0.0004595558,0.0002842084],"domain_scores_gemma":[0.9977406,0.00110367,0.0005491069,0.0005061189,0.00001596977,0.00008457152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000195292,0.0001307658,0.0004251901,0.0002409803,0.00002072831,0.000009568314,0.000003302028,1.098933e-7,0.000001266463,0.08908673,0.8551761,0.05490334],"study_design_scores_gemma":[0.0001544189,0.00004507869,0.001148151,0.00006640104,0.0001287167,0.000002214932,0.000002031224,0.000009784195,0.00001114595,0.1696049,0.8285345,0.0002925772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000003579163,0.0007540791,0.4448717,0.000005734395,0.0002150234,0.0001618078,0.0007314234,0.00006562357,0.5531911],"genre_scores_gemma":[0.0000332723,0.002108312,0.5595098,0.000006828403,0.0004140412,0.00001543844,0.0002032512,0.0003219838,0.4373871],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.115804,"threshold_uncertainty_score":0.9999586,"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."}}