{"id":"W3033266779","doi":"10.1136/annrheumdis-2020-eular.1917","title":"THU0270 ONLINE INTERACTION AND FREQUENT SELF-ASSESSMENTS PROMOTED TREAT-TO-TARGET FOR SLE VIA EMPOWERING PATIENTS: A COHORT STUDY FROM CHINA BY SMART SYSTEM OF DISEASE MANAGEMENT (SSDM)","year":2020,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Istituto Auxologico Italiano; Rigshospitalet; National Institutes of Health; Karl-Franzens-Universität Graz; Università degli Studi di Padova; University of Crete; Universidade do Porto; University of Leeds; Hospital for Special Surgery; Sveučilište u Zagrebu; Pécsi Tudományegyetem; York University; McMaster University","keywords":"Medicine; Cohort; Systemic lupus erythematosus; Demographics; Internal medicine; Disease; Physical therapy; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000856508,0.0006270363,0.0006139757,0.0006102641,0.002310138,0.001298784,0.0005629106,0.0008738176,0.003334591],"category_scores_gemma":[0.001878627,0.0005996044,0.001155759,0.001223763,0.0006008756,0.0007444726,0.001130015,0.002037228,0.0006634491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009317922,"about_ca_system_score_gemma":0.002543308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0357488,"about_ca_topic_score_gemma":0.05014918,"domain_scores_codex":[0.9991946,0.0001740472,0.00005844357,0.0001610719,0.0001139746,0.0002979018],"domain_scores_gemma":[0.9986361,0.0001064897,0.0002760508,0.00008705705,0.000200832,0.0006934264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003990022,0.001027054,0.9917206,0.00005059737,0.0001814531,0.0001257154,0.001418409,0.00001955301,0.0002781808,0.00006802169,0.0007944775,0.00391702],"study_design_scores_gemma":[0.0001280861,0.001108205,0.9935334,0.00004338596,0.0003580608,0.000137677,0.002973926,0.0002680187,0.0001189299,0.0001000343,0.001189859,0.00004051957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987947,0.0001293255,0.00006767327,0.0001283039,0.00002614786,0.00005880761,0.0003550519,0.000003878501,0.0004361898],"genre_scores_gemma":[0.9978147,0.000106011,0.0001269698,0.0003166575,0.00002725122,0.00009340208,0.000331506,0.000005309462,0.001178277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0357488,"threshold_uncertainty_score":0.07108146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664780080908996,"score_gpt":0.3405082223543402,"score_spread":0.3138604215452502,"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."}}