{"id":"W2970638446","doi":"10.11575/prism/36741","title":"Joint modeling of clustered binary data with crossed random effects via the Gaussian copula mixed model","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copula (linguistics); Binary number; Gaussian; Joint (building); Binary data; Mathematics; Statistics; Computer science; Econometrics; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.01563331,0.001814641,0.002861315,0.002055331,0.0008262824,0.002858022,0.004131285,0.002193221,0.003399151],"category_scores_gemma":[0.0307567,0.001430475,0.003696251,0.003218928,0.002010834,0.002461415,0.002504715,0.003698153,0.0008508985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884922,"about_ca_system_score_gemma":0.002611121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01513455,"about_ca_topic_score_gemma":0.01222289,"domain_scores_codex":[0.9886934,0.00700897,0.0003608739,0.002441884,0.0009654923,0.0005293583],"domain_scores_gemma":[0.9786696,0.01611436,0.001757672,0.001496124,0.00165866,0.0003035203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003384811,0.0002259713,0.01563063,0.0005020964,0.001497692,0.0008307932,0.001162053,0.545267,0.001650027,0.3483928,0.0041016,0.08040083],"study_design_scores_gemma":[0.00004740854,0.0000993312,0.00249096,0.0000860127,0.0002288273,0.00013767,0.00009933348,0.8985115,0.0004045679,0.09501529,0.002802169,0.00007687155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01506501,0.0005545843,0.9823449,0.0003493176,0.00006860723,0.0001458794,0.0005072125,0.0002311298,0.0007333475],"genre_scores_gemma":[0.4280908,0.002203251,0.5561557,0.0008143126,0.0002395663,0.001829645,0.002273416,0.0002578708,0.008135415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01563331,"threshold_uncertainty_score":0.08267778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06274235725773347,"score_gpt":0.3330847007044498,"score_spread":0.2703423434467164,"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."}}