{"id":"W4307497502","doi":"10.1136/lupus-2022-000755","title":"Health information use by patients with systemic lupus erythematosus (SLE) pre and during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Lupus Science & Medicine","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Systems, Applications & Products in Data Processing (Canada); Centre hospitalier de l'Université Laval; University of Manitoba; University of Calgary; McGill University; University of Waterloo; McGill University Health Centre; Dalhousie University; University of Toronto","funders":"Canadian Institutes of Health Research; Feinberg School of Medicine; EMD Serono; National Institutes of Health; National Center for Advancing Translational Sciences; National Research Foundation of Korea; Eli Lilly and Company; Eusko Jaurlaritza; National Research Foundation; National Institute for Health and Care Research; Arthritis Society; Glenmark Pharmaceuticals; Manchester Biomedical Research Centre; Mallinckrodt Pharmaceuticals; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Lupus Research Alliance; McGill University; Astellas Pharma; University of Calgary; Biogen; Pfizer; Northwestern University; National Center for Research Resources; Versus Arthritis; GlaxoSmithKline; Johns Hopkins University; Bristol-Myers Squibb; AstraZeneca; Université Laval","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Hydroxychloroquine; Intensive care medicine; Immunology; Virology; Disease; Internal medicine; Infectious disease (medical specialty); Outbreak","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":[0.001125895,0.0001711923,0.0002622578,0.000801202,0.0006160834,0.001078841,0.0002126952,0.0006273555,0.001997593],"category_scores_gemma":[0.005937308,0.0002234049,0.000411267,0.0009514508,0.0003024559,0.001095382,0.0007536702,0.0008816503,0.0003368513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000424065,"about_ca_system_score_gemma":0.0005475644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008802277,"about_ca_topic_score_gemma":0.01139811,"domain_scores_codex":[0.999025,0.0003865296,0.0001505905,0.0001033211,0.000142767,0.0001918621],"domain_scores_gemma":[0.9938446,0.001183038,0.003738037,0.0001354905,0.0003055289,0.0007932801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001091073,0.0000828991,0.995634,0.00002581915,0.00002488517,0.00007823373,0.001051321,0.00002508025,0.0001045321,0.00000677768,0.0001894052,0.002667853],"study_design_scores_gemma":[0.00001037906,0.0003173907,0.9956105,0.00003160688,0.00002122977,0.0002740785,0.003136654,0.00006731864,0.00006220592,0.000009326969,0.0004503179,0.000009072378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984665,0.0001777753,0.00001896154,0.0002104127,0.000006229188,0.00001269282,0.000490019,0.000001924049,0.0006156393],"genre_scores_gemma":[0.999117,0.0001703321,0.00005549341,0.0001579362,0.00001363178,0.00001796967,0.0002719771,9.761947e-7,0.0001948137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008802277,"threshold_uncertainty_score":0.01750207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181570460147812,"score_gpt":0.3025545220550512,"score_spread":0.280738817453573,"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."}}