{"id":"W3115937680","doi":"10.1002/acr.24548","title":"Predictors of Unsuccessful Hydroxychloroquine Tapering and Discontinuation: Can We Personalize Decision‐Making in Systemic Lupus Erythematosus Treatment?","year":2020,"lang":"en","type":"article","venue":"Arthritis Care & Research","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Université Laval; University of Manitoba; McGill University; University of Calgary; McGill University Health Centre","funders":"Canadian Institutes of Health Research; McGill University Health Centre; Fonds de Recherche du Québec-Société et Culture; Lupus Canada","keywords":"Medicine; Discontinuation; Cohort; Hydroxychloroquine; Internal medicine; Hazard ratio; Systemic lupus erythematosus; Rheumatoid arthritis; Cohort study; Proportional hazards model; Confidence interval; Disease","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":[0.003117349,0.0002072012,0.0003887343,0.0005003826,0.0006922949,0.001049372,0.0005438207,0.0007154826,0.001857805],"category_scores_gemma":[0.01655762,0.0001500092,0.0004205973,0.0008558737,0.0004391929,0.000618248,0.0004288371,0.001253524,0.0001543329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357866,"about_ca_system_score_gemma":0.003149112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09021526,"about_ca_topic_score_gemma":0.1189114,"domain_scores_codex":[0.9985847,0.0005791538,0.0001158227,0.0001556971,0.0003233011,0.0002412592],"domain_scores_gemma":[0.9914575,0.003384035,0.003137527,0.0001914674,0.0007738606,0.001055575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172339,0.00002837352,0.9904212,0.00002115393,0.00004191515,0.0000438837,0.0001277465,0.0002677388,0.00001987683,0.00004136394,0.0005955484,0.008274035],"study_design_scores_gemma":[0.00002924198,0.00009997557,0.9935967,0.0001717858,0.00008055526,0.0001846052,0.00072465,0.00363403,0.00005217532,0.0003411188,0.001067898,0.00001736871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988088,0.003247219,0.000295308,0.006545302,0.00004007448,0.00001947011,0.0002963801,0.000008555554,0.001459748],"genre_scores_gemma":[0.9990711,0.0004329312,0.0001526347,0.0001325291,0.00003974753,0.000003547886,0.0001023254,0.000001177491,0.000063803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09021526,"threshold_uncertainty_score":0.1793803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864960388171971,"score_gpt":0.3384167182346841,"score_spread":0.2997671143529643,"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."}}