{"id":"W4283694519","doi":"10.1136/annrheumdis-2022-eular.3408","title":"POS1434 USE OF BIOLOGIC OR TARGETED SYNTHETIC DISEASE MODIFYING ANTI-RHEUMATIC DRUGS AND THE RISK OF LYMPHOMA IN RHEUMATOID ARTHRITIS","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Abatacept; Leflunomide; Rheumatoid arthritis; Tofacitinib; Hydroxychloroquine; Tocilizumab; Internal medicine; Rituximab; Etanercept; Sulfasalazine; Lymphoma; Diagnosis code; Infliximab; Adalimumab; Disease; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202011,0.000243012,0.0009452886,0.0001528533,0.0002630145,0.0000148733,0.0005588375,0.00007608139,0.0004109789],"category_scores_gemma":[0.003766206,0.0001245055,0.0004015311,0.000446949,0.001634952,0.00008509824,0.0005501989,0.0001699479,0.000001778589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001249718,"about_ca_system_score_gemma":0.0001292874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000626215,"about_ca_topic_score_gemma":0.00001461627,"domain_scores_codex":[0.9956905,0.002541127,0.0009992803,0.000284342,0.0001505405,0.0003342019],"domain_scores_gemma":[0.9951959,0.003140913,0.0008433975,0.0006762267,0.0000878972,0.00005569231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02493378,0.01100081,0.442946,0.005063216,0.007877998,0.00003120722,0.009407322,0.003036499,0.005952852,0.02132494,0.005139837,0.4632856],"study_design_scores_gemma":[0.01305851,0.0007768393,0.9236293,0.004952867,0.0009098618,0.00006928157,0.005217667,0.004846369,0.01154394,0.0334129,0.0006464291,0.000935994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705546,0.02660999,0.00002416649,0.001076725,0.0001715281,0.0005650696,0.0009697084,0.00001647638,0.00001172797],"genre_scores_gemma":[0.9822569,0.01728584,0.0001053799,0.0001995149,0.000001587545,0.00005926584,0.00001431708,0.00001532421,0.00006180054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4806834,"threshold_uncertainty_score":0.6024049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03884315260165726,"score_gpt":0.276547160552637,"score_spread":0.2377040079509797,"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."}}