{"id":"W2955246239","doi":"10.3899/jrheum.190102","title":"Toward Defining Primary and Secondary Nonresponse in Rheumatoid Arthritis Patients Treated with Anti-TNF: Results from the BioTRAC and OBRI Registries","year":2019,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"Canadian Arthritis Network; Canadian Institutes of Health Research; Pfizer Pharmaceuticals; Ontario Ministry of Health and Long-Term Care; F. Hoffmann-La Roche; Gilead Sciences; Celgene; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Amgen; Pfizer; Celltrion; Sanofi; Abbott Laboratories","keywords":"Medicine; Rheumatoid arthritis; Discontinuation; Erythrocyte sedimentation rate; Internal medicine; Rheumatism; Physical therapy; Rheumatology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.03633219,0.0002750354,0.0007296375,0.003162709,0.0005352226,0.001365131,0.001098094,0.0007339533,0.001069833],"category_scores_gemma":[0.06208629,0.0002341729,0.001180915,0.0033539,0.0006290924,0.0009282407,0.00206748,0.000650327,0.0005350928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547141,"about_ca_system_score_gemma":0.003059509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04107763,"about_ca_topic_score_gemma":0.03416644,"domain_scores_codex":[0.9609042,0.01818135,0.00559269,0.003222268,0.01017425,0.00192529],"domain_scores_gemma":[0.8842917,0.0257238,0.04987564,0.0112774,0.02563684,0.003194574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003011195,0.00002786849,0.9958567,0.00003979183,0.00006510781,0.00001044347,0.0002010627,0.00007174897,0.00006565264,0.00005125072,0.000408655,0.002900589],"study_design_scores_gemma":[0.00002824649,0.0001072998,0.9980208,0.00004124923,0.00004609524,0.00007549889,0.0002021513,0.0003992246,0.0001123113,0.00002069778,0.0009390077,0.000007450386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981738,0.001764448,0.001925532,0.0005952352,0.00005307991,0.000404919,0.008358447,0.00005831985,0.005101964],"genre_scores_gemma":[0.9940785,0.0002327843,0.0006016573,0.0002181098,0.0000406985,0.00015928,0.00429818,0.00001986174,0.0003509452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04107763,"threshold_uncertainty_score":0.1921453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108524668257332,"score_gpt":0.2290940825175986,"score_spread":0.2182416156918654,"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."}}