{"id":"W2607305686","doi":"10.3899/jrheum.150457","title":"Biologic Disease-modifying Antirheumatic Drug (bDMARD)-induced Neutropenia: A Registry from a Retrospective Cohort of Patients with Rheumatic Diseases Treated with 3 Classes of Intravenous bDMARD","year":2017,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Neutropenia; Rheumatoid arthritis; Internal medicine; Concomitant; Tocilizumab; Cohort; Retrospective cohort study; Methotrexate; Arthritis; Abatacept; Antirheumatic drugs; Antirheumatic Agents; Chemotherapy; Rituximab","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006464186,0.0002413303,0.0004394508,0.0007253558,0.0004151655,0.0005597821,0.0003435768,0.0002958976,0.001156033],"category_scores_gemma":[0.001796782,0.00035945,0.0004007586,0.0009363519,0.0002133126,0.0004632128,0.0004515477,0.0004352448,0.0002389922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498864,"about_ca_system_score_gemma":0.0004288339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004061974,"about_ca_topic_score_gemma":0.00324156,"domain_scores_codex":[0.9992527,0.000164111,0.0001197584,0.0002290143,0.0001494577,0.00008493561],"domain_scores_gemma":[0.9976014,0.0003234152,0.001358268,0.0002578127,0.0001801774,0.0002789987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008080889,0.00002076453,0.9989079,0.000006067351,0.00003623771,0.0001161637,0.00002601734,0.00002131829,0.0001733854,0.000007510049,0.00005881276,0.0005450284],"study_design_scores_gemma":[0.00002495331,0.0001708003,0.9978167,0.000008018182,0.00004392836,0.001282513,0.0001062912,0.0001657314,0.0001025544,0.00000910984,0.0002649831,0.000004397767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986249,0.0002153876,0.0001380068,0.00001677113,0.000004807572,0.00001782508,0.0007487004,0.000003545896,0.0002301019],"genre_scores_gemma":[0.9987331,0.0001584221,0.0001123068,0.00002114653,0.00001207584,0.0000161754,0.0008899037,0.000002160854,0.00005471425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004061974,"threshold_uncertainty_score":0.008076668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006716620335308646,"score_gpt":0.2213469628743676,"score_spread":0.2146303425390589,"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."}}