{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3969167,0.002186967,0.01115481,0.009449232,0.001001692,0.006433925,0.003550508,0.004994487,0.007311546],"category_scores_gemma":[0.5793188,0.001187971,0.02309433,0.009183982,0.005527102,0.004534301,0.00545042,0.003373677,0.0003573791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006295746,"about_ca_system_score_gemma":0.004557371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300918,"about_ca_topic_score_gemma":0.000882001,"domain_scores_codex":[0.3098063,0.6134834,0.03574864,0.009149229,0.03073798,0.001074565],"domain_scores_gemma":[0.3265333,0.5962842,0.04092316,0.02342702,0.01147666,0.001355593],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0551538,0.0005231428,0.04226818,0.1392462,0.5144992,0.0002598433,0.001919852,0.006356007,0.0005632764,0.06245066,0.005448695,0.1713112],"study_design_scores_gemma":[0.07825688,0.02172176,0.04377535,0.1045543,0.4152855,0.001833244,0.002887334,0.02426607,0.002145553,0.2577516,0.04679374,0.0007287865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.06684758,0.6879295,0.1925908,0.01090721,0.009172299,0.01736784,0.002858495,0.0002937678,0.01203259],"genre_scores_gemma":[0.7893046,0.05943428,0.1100597,0.005570321,0.002897437,0.03017633,0.001327452,0.0002195352,0.001010254],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6030833,"threshold_uncertainty_score":0.7437091,"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."}}