{"id":"W4385639452","doi":"10.1136/lupus-2023-kcr.25","title":"LO-024 Association between severe non-adherence to hydroxychloroquine and SLE flares, damage, and mortality in 660 patients from the SLICC inception cohort","year":2023,"lang":"en","type":"article","venue":"","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Calgary; Arthritis Society; Mount Sinai Hospital; University Health Network; University of Toronto; Dalhousie University; University of Manitoba; Toronto Western Hospital; Université Laval; Queen Elizabeth II Health Sciences Centre","funders":"","keywords":"Medicine; Hydroxychloroquine; Interquartile range; Cohort; Internal medicine; Logistic regression; Hazard ratio; Proportional hazards model; Prednisone; Coronavirus disease 2019 (COVID-19); Disease; Confidence interval","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":[0.0006364444,0.0003798496,0.0004100437,0.0007062827,0.0005607925,0.0007121229,0.0003357977,0.0004080758,0.002120553],"category_scores_gemma":[0.001170355,0.0003781298,0.000632822,0.001102561,0.0001914481,0.0002509407,0.0004448829,0.0005863609,0.0003084792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004687593,"about_ca_system_score_gemma":0.0004864202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03663624,"about_ca_topic_score_gemma":0.03064774,"domain_scores_codex":[0.9996159,0.00006711051,0.00003646356,0.0001086425,0.0000744714,0.00009741381],"domain_scores_gemma":[0.9986734,0.0001165765,0.0004934528,0.0002104722,0.0001775603,0.0003285735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002385027,0.00001524131,0.9989442,0.000003544466,0.00004665972,0.00002971631,0.0000256645,0.00001964742,0.0001609204,0.000005454124,0.000145692,0.0003647014],"study_design_scores_gemma":[0.00001629558,0.00006988696,0.9994059,0.00000314385,0.00003615447,0.00007793823,0.00006046499,0.0001508345,0.00003364242,0.000005440879,0.0001376648,0.000002495308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981177,0.00007990745,0.00004622554,0.00001806781,0.000004104898,0.000007929259,0.001494822,0.000003809336,0.0002275409],"genre_scores_gemma":[0.997685,0.00004404916,0.0000586555,0.00002595136,0.000009931864,0.00001174203,0.001971815,0.000003928703,0.0001889799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03663624,"threshold_uncertainty_score":0.072846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509172941577064,"score_gpt":0.3226998368341016,"score_spread":0.2976081074183309,"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."}}