{"id":"W3125751635","doi":"10.1136/annrheumdis-2020-eular.5862","title":"FRI0086 DISEASE ACTIVITY MEASURES AND OTHER POTENTIAL PREDICTORS OF SUCCESSFUL TNF INHIBITORS TAPERING IN RA PATIENTS","year":2020,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Sanofi Genzyme; Chugai Pharmaceutical; Gilead Sciences; LEO Pharma; Medac; Fresenius Medical Care North America; Celltrion; Astellas Pharma; Eisai; Daiichi-Sankyo; Dermira; Sun Pharma; Regeneron Pharmaceuticals; Pfizer; Biogen; Celgene; Bristol-Myers Squibb; Samsung; Genentech; UCB Pharma; Valeant Pharmaceuticals International; Sanofi; Amgen; Galderma; Eli Lilly and Company; GlaxoSmithKline","keywords":"Medicine; Discontinuation; Rheumatoid arthritis; Internal medicine; Adverse effect; Logistic regression; Observational study; Tapering; Exact test; Statistical significance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005018603,0.0002798516,0.0005328786,0.0005164125,0.0002591644,0.0007236052,0.0002944508,0.0005512859,0.002280695],"category_scores_gemma":[0.002659702,0.0001185323,0.0006483226,0.000599363,0.0001728894,0.0003800966,0.000201256,0.0008763937,0.0003620914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657642,"about_ca_system_score_gemma":0.0002836282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027862,"about_ca_topic_score_gemma":0.003436859,"domain_scores_codex":[0.9996886,0.00007398058,0.00005445672,0.00004763467,0.00007014233,0.00006508615],"domain_scores_gemma":[0.9982569,0.0006362906,0.0006442968,0.00005859847,0.0001008602,0.0003030729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00246747,0.0001186253,0.987879,0.00004868117,0.0002438127,0.0001959131,0.00003434369,0.0001698586,0.0006448946,0.00005250519,0.0002805397,0.007864377],"study_design_scores_gemma":[0.00004867217,0.0004745281,0.9976431,0.00001745848,0.0001475675,0.0004920865,0.00006857568,0.0005037497,0.0001323543,0.00005073495,0.0004127485,0.000008302846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942191,0.003037683,0.0001062466,0.000166942,0.00003172258,0.000007121545,0.000678118,0.00001037244,0.001742668],"genre_scores_gemma":[0.9986209,0.0002805087,0.0001236528,0.00004693161,0.00004164455,0.00000440436,0.000500214,0.000002078543,0.0003795974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002280695,"threshold_uncertainty_score":0.007629633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669217783887099,"score_gpt":0.2746764209607541,"score_spread":0.2479842431218831,"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."}}