{"id":"W2086696611","doi":"10.1198/016214506000000889","title":"Transition Models for Multivariate Longitudinal Binary Data","year":2007,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Covariate; Multivariate statistics; Categorical variable; Binary data; Statistics; Econometrics; Mathematics; Marginal model; Logistic regression; Binary number; Regression analysis","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003651257,0.0001178135,0.0004100708,0.00005961214,0.0001234619,0.00003925051,0.0004020614,0.00004662349,0.00001498629],"category_scores_gemma":[0.009017159,0.00007844811,0.00009813588,0.0002256725,0.00008089098,0.0002071036,0.00005889269,0.0002608541,0.000001419116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612293,"about_ca_system_score_gemma":0.00008125204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004114132,"about_ca_topic_score_gemma":0.00001390951,"domain_scores_codex":[0.9980456,0.0002664262,0.0007013412,0.0001595077,0.0005446873,0.0002824127],"domain_scores_gemma":[0.9898214,0.008007413,0.001403411,0.000262215,0.000402489,0.0001030593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001572558,0.0007883225,0.002953546,0.000134156,0.0005533163,0.00003983402,0.0006388858,0.0001063085,0.002448177,0.7664169,0.0314948,0.1928532],"study_design_scores_gemma":[0.0005832941,0.0003380537,0.04305246,0.00005249876,0.0003156355,0.00001776195,0.0001637352,0.04022099,0.00009684083,0.9148951,0.0001339506,0.000129684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008250056,0.000007817951,0.9891678,0.001414007,0.0002700819,0.0001706978,0.0006186877,0.00001043563,0.00009039442],"genre_scores_gemma":[0.3264894,0.000004896603,0.6731102,0.0001410256,0.0002113467,0.000001442367,0.000008123975,0.00001266628,0.00002085735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3182393,"threshold_uncertainty_score":0.9993303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260830046156368,"score_gpt":0.4292177316485914,"score_spread":0.3031347270329546,"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."}}