{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002078551,0.0003436591,0.001242737,0.0001126805,0.0001414309,0.000030963,0.0004628561,0.00007029373,0.0001924721],"category_scores_gemma":[0.005491072,0.000193057,0.0001198028,0.0004184917,0.0006937696,0.00019109,0.0004975973,0.0001263705,0.000004307929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007096022,"about_ca_system_score_gemma":0.0009792296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669485,"about_ca_topic_score_gemma":0.0003287293,"domain_scores_codex":[0.9972697,0.0003162578,0.0008333775,0.0005158263,0.0007084106,0.0003563786],"domain_scores_gemma":[0.9961402,0.001232647,0.0004842619,0.001276178,0.0001930347,0.0006736989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007325156,0.001811844,0.9902506,0.003007571,0.0008114258,0.00008819188,0.0003203807,0.00006205677,0.000001199625,0.00005796442,0.002401505,0.0004547157],"study_design_scores_gemma":[0.005950209,0.0001811629,0.9891875,0.001329415,0.0008690981,0.00001059838,0.0005359079,0.000271646,0.00002087424,0.001252471,0.0001535295,0.0002375998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899887,0.003961258,0.0000781675,0.003216056,0.00002411123,0.0008052738,0.001798998,0.00005983063,0.00006755107],"genre_scores_gemma":[0.9949907,0.0006376487,0.0001604777,0.00354526,0.000006600766,0.00007080663,0.0005030897,0.00002432024,0.00006109566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005283216,"threshold_uncertainty_score":0.7872638,"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."}}