{"id":"W3164028019","doi":"10.1136/annrheumdis-2021-eular.1092","title":"OP0284 OUTCOME OF COVID-19 IN PATIENTS WITH RHEUMATIC AND INFLAMMATORY DISEASES TREATED WITH RITUXIMAB: DATA FROM DE FRENCH RMD COVID-19 COHORT","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Dermatological and COVID-19 studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Rituximab; Internal medicine; Comorbidity; Cohort; Population; Rheumatoid arthritis; Retrospective cohort study; Confounding; Propensity score matching; Intensive care unit; Cohort study; Mortality rate","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":[0.001156753,0.0003964168,0.0007170775,0.0009730765,0.0003691838,0.001044214,0.0003824596,0.0004899582,0.002464999],"category_scores_gemma":[0.002813274,0.0002326103,0.001152773,0.001128823,0.0002287194,0.0006226167,0.0005996778,0.0006132772,0.0003597768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000760564,"about_ca_system_score_gemma":0.0005019198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009229197,"about_ca_topic_score_gemma":0.01036672,"domain_scores_codex":[0.9987704,0.0002742706,0.000116444,0.0003528758,0.0001850997,0.0003008516],"domain_scores_gemma":[0.9981853,0.0002946632,0.0009264526,0.0001874573,0.0002233624,0.0001826645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001056578,0.00002950389,0.990932,0.00008426635,0.001117434,0.0002003416,0.00005537898,0.000131702,0.0004350217,0.000120979,0.001905127,0.003931601],"study_design_scores_gemma":[0.00006423407,0.0001204951,0.9959022,0.00006278524,0.0003977982,0.0005453173,0.0001154053,0.0001118322,0.0001047274,0.00006551085,0.002497079,0.00001256519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780353,0.008525337,0.0002770244,0.000321457,0.00007083893,0.00001884136,0.009805815,0.00001652739,0.002928725],"genre_scores_gemma":[0.9900478,0.001092913,0.0001013025,0.0002189909,0.0000697711,0.00002703858,0.007790711,0.00001385288,0.0006377122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009229197,"threshold_uncertainty_score":0.0183509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06650484761613192,"score_gpt":0.333516827697493,"score_spread":0.2670119800813611,"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."}}