{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01625448,0.000968816,0.0022247,0.002355143,0.0007755355,0.002155683,0.003198294,0.00116705,0.009400104],"category_scores_gemma":[0.07809348,0.0006720825,0.001474376,0.004543191,0.00156366,0.002117996,0.002163033,0.003662447,0.001992434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848473,"about_ca_system_score_gemma":0.002706788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175702,"about_ca_topic_score_gemma":0.01556906,"domain_scores_codex":[0.9835259,0.01274906,0.0003549996,0.001256063,0.00168323,0.0004307736],"domain_scores_gemma":[0.9718159,0.01982316,0.002332713,0.003243225,0.002409081,0.000375914],"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":[0.0004234672,0.0001684006,0.01802825,0.0005214799,0.0005850536,0.0002566076,0.0003914541,0.248929,0.0007868387,0.3461742,0.01989814,0.363837],"study_design_scores_gemma":[0.00003232607,0.0000451152,0.007462259,0.000124801,0.00005661672,0.0001306578,0.00007563463,0.7599689,0.0002594363,0.2218956,0.009886293,0.00006240878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01154866,0.001074859,0.9802089,0.0007960469,0.0001091426,0.0001193141,0.00133061,0.0007106156,0.004101833],"genre_scores_gemma":[0.5735579,0.002131541,0.4042351,0.0004451843,0.0004552213,0.0007804176,0.00391523,0.0004650326,0.01401442],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02175702,"threshold_uncertainty_score":0.08596295,"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."}}