{"id":"W4321376795","doi":"10.1177/13524585231151394","title":"Comparative effectiveness in multiple sclerosis: A methodological comparison","year":2023,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Jerome; Jewish General Hospital; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Université de Montréal","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research; Novartis Pharma; EMD Serono; Grifols; Multiple Sclerosis Australia; Università di Catania; Multiple Sclerosis Society of Canada; Atara Biotherapeutics; Univerzita Karlova v Praze; Medical Research Council; Biogen; Celgene; Sanofi Genzyme; F. Hoffmann-La Roche; Monash University; Alexion Pharmaceuticals; Teva Pharmaceutical Industries; Bayer HealthCare; European Commission; Sanofi; Mylan; Bristol-Myers Squibb","keywords":"Propensity score matching; Marginal structural model; Fingolimod; Observational study; Medicine; Natalizumab; Hazard ratio; Confounding; Multiple sclerosis; Internal medicine; Confidence interval; Disease; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006703259,0.0006994034,0.002463538,0.001355269,0.0008697393,0.0002460833,0.0005903376,0.0003661485,0.0002028634],"category_scores_gemma":[0.007994262,0.000562838,0.0006516164,0.002661979,0.0006135284,0.0004273476,0.0005467132,0.002275173,0.0006147897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007534893,"about_ca_system_score_gemma":0.000230675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002042328,"about_ca_topic_score_gemma":0.0003296369,"domain_scores_codex":[0.9912018,0.002878653,0.001497328,0.001008651,0.001644912,0.001768661],"domain_scores_gemma":[0.9899613,0.007505439,0.0004252058,0.0006388135,0.0006238973,0.0008453478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002636935,0.001064166,0.6964541,0.0001795133,0.000411482,0.0001084014,0.002332845,0.002560989,0.2739377,0.00001011964,0.004447073,0.01585669],"study_design_scores_gemma":[0.01311177,0.0007084482,0.927581,0.001826079,0.00007845374,0.00006705664,0.002644856,0.02906887,0.02353594,0.00005930229,0.00080582,0.0005123572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931581,0.0009949101,0.001579908,0.0009749843,0.000642656,0.001778702,0.00005500374,0.0004038106,0.0004119423],"genre_scores_gemma":[0.9895834,0.001954875,0.007195663,0.0001626184,0.0004683642,0.0004254645,0.00005036714,0.00008385754,0.00007535416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2504017,"threshold_uncertainty_score":0.9996823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5957892208114504,"score_gpt":0.446046245875831,"score_spread":0.1497429749356193,"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."}}