{"id":"W2922151066","doi":"10.1007/s40744-019-0149-3","title":"Comparative Effectiveness of Abatacept Versus Tumor Necrosis Factor Inhibitors in Patients with Rheumatoid Arthritis Who Are Anti-CCP Positive in the United States Corrona Registry","year":2019,"lang":"en","type":"article","venue":"Rheumatology and Therapy","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Momenta Pharmaceuticals; Valeant Pharmaceuticals International; Regeneron Pharmaceuticals; Genentech; Horizon Pharma; Celgene; Gilead Sciences; Amgen; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Abatacept; Internal medicine; Rheumatoid arthritis; Cohort; Etanercept; Propensity score matching; Rheumatology; Serostatus; Rheumatoid factor; Oncology; Physical therapy; Immunology; Rituximab; Human immunodeficiency virus (HIV)","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":[0.0003328858,0.0002812584,0.001064657,0.000323222,0.00008801719,0.00002936251,0.0001494954,0.0001180411,0.0000549337],"category_scores_gemma":[0.00005492662,0.0001889672,0.00005991255,0.0004944693,0.0005388115,0.0001719156,0.00003185081,0.0004282386,0.000009220125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385481,"about_ca_system_score_gemma":0.00008807542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102671,"about_ca_topic_score_gemma":0.0002052951,"domain_scores_codex":[0.9978214,0.0007076112,0.0003917433,0.0003683415,0.0003093845,0.000401551],"domain_scores_gemma":[0.9979766,0.001231245,0.0002266152,0.000303317,0.0001798331,0.00008238061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01206971,0.000560304,0.9806725,0.00008941225,0.0001850379,0.00002866101,0.004792505,0.00001371785,0.0001833016,0.0003977719,0.00003225013,0.0009747993],"study_design_scores_gemma":[0.02700943,0.002243095,0.9615423,0.003273944,0.00000113958,0.00004756345,0.003130082,0.00006609926,0.002218942,0.0001064715,0.0001524959,0.0002084348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930662,0.005187783,0.000004260998,0.0001159658,0.00009745763,0.001335933,0.0001043119,0.00001912374,0.00006897542],"genre_scores_gemma":[0.962481,0.03717245,0.00001191587,0.00005050707,0.000001940796,0.00005746188,0.0001999155,0.00002165169,0.000003134278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03198467,"threshold_uncertainty_score":0.7705858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080818675483732,"score_gpt":0.2590551601920899,"score_spread":0.2482469734372526,"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."}}