{"id":"W2168090621","doi":"10.1016/j.jclinepi.2015.05.003","title":"A longitudinal model for disease progression was developed and applied to multiple sclerosis","year":2015,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"Health Technology Assessment Programme; Canadian Institutes of Health Research; EMD Serono; European Committee for Treatment and Research in Multiple Sclerosis; Multiple Sclerosis Trust; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; IC Design Education Center; Teva Pharmaceutical Industries; National Institute for Health and Care Research; U.S. Department of Veterans Affairs; National Multiple Sclerosis Society; Michael Smith Health Research BC; Medical Research Council; Biogen","keywords":"Expanded Disability Status Scale; Medicine; Cohort; Observational study; Confidence interval; Cohort study; Multiple sclerosis; Autocorrelation; Physical therapy; Statistics; Demography; Internal medicine; Psychiatry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008879967,0.001189016,0.001613895,0.001459333,0.001021145,0.001888341,0.002413184,0.001953182,0.007363246],"category_scores_gemma":[0.01576311,0.0007332416,0.002610113,0.002282336,0.0008609277,0.001580002,0.001616314,0.003399695,0.001488674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338432,"about_ca_system_score_gemma":0.004434127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04389595,"about_ca_topic_score_gemma":0.02770515,"domain_scores_codex":[0.9977399,0.001347544,0.00009919495,0.0004340229,0.0001941789,0.000185095],"domain_scores_gemma":[0.9954852,0.003008793,0.0003884805,0.0002835143,0.0006908246,0.0001431758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003665794,0.0002173212,0.06091555,0.0003672673,0.0007861509,0.001008565,0.001503983,0.6417605,0.0008969156,0.1850944,0.01048299,0.09659987],"study_design_scores_gemma":[0.0001095599,0.0002640899,0.005800268,0.0001220398,0.0001694518,0.0002665605,0.0001460602,0.9237626,0.0002355879,0.05553737,0.01353239,0.0000539661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05828914,0.0008512147,0.9272719,0.003058776,0.0005017537,0.0007274877,0.004527624,0.000723745,0.004048374],"genre_scores_gemma":[0.6620824,0.002209008,0.3037943,0.0006628048,0.0004373483,0.003471946,0.004935964,0.000262258,0.02214401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04389595,"threshold_uncertainty_score":0.08728093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7008445152096974,"score_gpt":0.5604157997515393,"score_spread":0.140428715458158,"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."}}