{"id":"W4200021580","doi":"10.1177/13524585211063403","title":"Disease-modifying drugs for multiple sclerosis and subsequent health service use","year":2021,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University; University of Calgary; University of Manitoba; University of Alberta; University of Saskatchewan; Alberta Health Services; University of British Columbia Hospital; Saskatchewan Health Quality Council; University of British Columbia","funders":"Canadian Institutes of Health Research; Agency for Healthcare Research and Quality","keywords":"Medicine; Fingolimod; Multiple sclerosis; Hazard ratio; Confidence interval; Medical prescription; Population; Proportional hazards model; Teriflunomide; Disease; Pediatrics; Internal medicine; Environmental health; Psychiatry","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":[0.0005427754,0.0002025409,0.0002627288,0.000646915,0.0004103463,0.000567538,0.0004809487,0.0003249863,0.002326194],"category_scores_gemma":[0.003042406,0.0001430737,0.0005964456,0.001588645,0.0001883237,0.0002176216,0.0003388508,0.0007234573,0.0002022015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002899993,"about_ca_system_score_gemma":0.003090476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5073479,"about_ca_topic_score_gemma":0.5656822,"domain_scores_codex":[0.9992809,0.0000930782,0.00007085691,0.00008861887,0.000264635,0.0002018932],"domain_scores_gemma":[0.9978343,0.0001946339,0.001307894,0.000057925,0.0003305802,0.0002747111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009328041,0.00003110707,0.9971024,0.00003594837,0.0001219289,0.00002561444,0.00003347189,0.00005127711,0.00006596543,0.00002362181,0.0002304107,0.002184818],"study_design_scores_gemma":[0.000003636774,0.00002300995,0.9994038,0.00001460572,0.00003269559,0.0000502125,0.00002916485,0.0001037128,0.00002428347,0.000006222294,0.0003063952,0.000002137656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880414,0.002729448,0.00009024109,0.0004508162,0.00001598849,0.00003500348,0.006214981,0.00001344797,0.002408703],"genre_scores_gemma":[0.997831,0.000504368,0.0000771726,0.00005748714,0.00001073876,0.000008277268,0.001127672,0.000001551829,0.0003817613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5073479,"threshold_uncertainty_score":0.9911069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2395934882397914,"score_gpt":0.3436174766280718,"score_spread":0.1040239883882804,"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."}}