{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009838608,0.0002205359,0.0002956052,0.0007349643,0.0002620321,0.0007530251,0.0002618917,0.0007757543,0.005470384],"category_scores_gemma":[0.00254681,0.0001531936,0.0004753898,0.0009164294,0.0003100667,0.0003914323,0.0002671701,0.0007796587,0.0008484542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344226,"about_ca_system_score_gemma":0.0002714503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004227218,"about_ca_topic_score_gemma":0.0003461515,"domain_scores_codex":[0.9991713,0.0003506726,0.00007449977,0.00009148174,0.000220133,0.00009200231],"domain_scores_gemma":[0.9974635,0.000856169,0.001029684,0.0001372667,0.0001874388,0.0003259204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006394328,0.000322875,0.948494,0.0001534257,0.0003634673,0.0009606102,0.00006785604,0.0001365844,0.007368816,0.0004075022,0.001042469,0.03428796],"study_design_scores_gemma":[0.0001470718,0.002768312,0.986308,0.00007280531,0.0002760097,0.0036236,0.0001770787,0.0003497085,0.001649074,0.0005585859,0.004052448,0.00001731821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888559,0.003897543,0.0002847868,0.0003558107,0.00008900555,0.00001122477,0.0006472405,0.00001978503,0.005838688],"genre_scores_gemma":[0.9979171,0.0004767078,0.0001337577,0.0001918323,0.00007029725,0.000005860241,0.0004172935,0.0000058472,0.0007813442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005470384,"threshold_uncertainty_score":0.01830029,"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."}}