{"id":"W4387599047","doi":"10.1177/13524585231202320","title":"Relapse recovery in relapsing–remitting multiple sclerosis: An analysis of the CombiRx dataset","year":2023,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; University of Calgary","funders":"National Heart, Lung, and Blood Institute; Sanofi Genzyme; EMD Serono; Atara Biotherapeutics; BioDelivery Sciences International; Acorda Therapeutics; Sanofi; GW Pharmaceuticals; National Institutes of Health; Mylan; TG Therapeutics; Jazz Pharmaceuticals; AveXis; University of Texas Health Science Center at Houston; Pfizer; Biogen; Celgene; AbbVie; Cleveland Clinic Foundation; Bristol-Myers Squibb; Cleveland Clinic; Alexion Pharmaceuticals; Teva Pharmaceutical Industries; CSL Behring; MedDay Pharmaceuticals; Horizon Pharmaceuticals; Genentech; National Multiple Sclerosis Society","keywords":"Multiple sclerosis; Relapsing remitting; Medicine; Proportional hazards model; Clinical trial; Internal medicine; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005511022,0.0004823162,0.00169885,0.00109401,0.0004817452,0.001276369,0.001223096,0.00118699,0.002923223],"category_scores_gemma":[0.01546326,0.0002393347,0.001422309,0.001315417,0.0002902499,0.0006711445,0.001096017,0.0009151659,0.0008257432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709851,"about_ca_system_score_gemma":0.0006847437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794605,"about_ca_topic_score_gemma":0.007024013,"domain_scores_codex":[0.9974733,0.001153354,0.0003063568,0.0006283771,0.000305527,0.0001331175],"domain_scores_gemma":[0.9914554,0.004266934,0.001921472,0.001539766,0.0004548597,0.0003615935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02300483,0.001014708,0.8500149,0.003379697,0.008838494,0.001488664,0.0004664598,0.006355403,0.002405834,0.0007193697,0.0627839,0.03952776],"study_design_scores_gemma":[0.002864507,0.001466814,0.9473485,0.0003677726,0.002445554,0.001995917,0.0003402556,0.0204642,0.0008919834,0.0006727646,0.02101171,0.0001300034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8754975,0.003008859,0.0005889923,0.0005555298,0.00004826046,0.0001854796,0.1189753,0.0002029676,0.0009371724],"genre_scores_gemma":[0.6843844,0.0008196048,0.003209865,0.000333364,0.0001012841,0.0006063057,0.3096292,0.000099696,0.0008162447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005511022,"threshold_uncertainty_score":0.02914536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1531491186607711,"score_gpt":0.3261595973250584,"score_spread":0.1730104786642873,"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."}}