{"id":"W2150355686","doi":"10.1002/cjs.11253","title":"Bayesian nonparametric multivariate ordinal regression","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate probit model; Multivariate statistics; Mathematics; Statistics; Probit model; Probit; Ordinal data; Multivariate analysis; Econometrics","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":[0.0009087962,0.000133164,0.0002479759,0.0004947243,0.00009772682,0.0001833262,0.0006914707,0.00007665519,0.00002071978],"category_scores_gemma":[0.0008364897,0.000106286,0.00004812232,0.0005383475,0.00005759104,0.0003114776,0.00002840625,0.0002961274,0.00001266237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796018,"about_ca_system_score_gemma":0.002479503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589163,"about_ca_topic_score_gemma":0.001164217,"domain_scores_codex":[0.9986704,0.000168063,0.0003839424,0.0001487799,0.0002896892,0.0003390987],"domain_scores_gemma":[0.997122,0.0001449882,0.0002975783,0.0002690777,0.0005834355,0.001582908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001897647,0.00003426625,0.001293993,0.00001845528,0.00004815095,0.002796232,0.001922376,0.0001973305,0.00005107673,0.3340382,0.1121148,0.5474661],"study_design_scores_gemma":[0.002786749,0.001277813,0.004821927,0.0002970989,0.00009272183,0.002554138,0.0001361567,0.1788995,0.0003993381,0.7317447,0.07611112,0.0008787466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002137998,0.0003875092,0.9960499,0.0005364152,0.001218925,0.0000488943,0.00003311467,0.000007268231,0.001504145],"genre_scores_gemma":[0.1784165,0.000007376223,0.8209966,0.0002168907,0.0001387462,4.107455e-7,0.000001177026,0.000009581476,0.0002127041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5465873,"threshold_uncertainty_score":0.4398532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04249451254297744,"score_gpt":0.2874013717626713,"score_spread":0.2449068592196939,"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."}}