{"id":"W4399407980","doi":"10.55563/clinexprheumatol/6qobnr","title":"Impact of anti-rheumatic treatment on the individual components of the ACR composite score in patients with rheumatoid arthritis: real-world data","year":2023,"lang":"en","type":"article","venue":"Clinical and Experimental Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université Laval; Montreal Heart Institute; Toronto General Hospital","funders":"Canadian Arthritis Network; Canadian Institutes of Health Research; Pfizer Pharmaceuticals; Ontario Ministry of Health and Long-Term Care; F. Hoffmann-La Roche; Samsung; Celgene; Gilead Sciences; Celltrion; Sanofi; Amgen; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Rheumatoid arthritis; Internal medicine; Rheumatology; Physical therapy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004741873,0.0002471427,0.001037531,0.0001698985,0.0001437679,0.00001846362,0.000416226,0.00007415141,0.00005167591],"category_scores_gemma":[0.0001417782,0.0001193816,0.0001577564,0.0004364946,0.001633234,0.00008536277,0.0004164193,0.0002564081,0.00001817795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003475047,"about_ca_system_score_gemma":0.0001073728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151784,"about_ca_topic_score_gemma":0.000250757,"domain_scores_codex":[0.9974416,0.0003871273,0.0009467587,0.000405056,0.0004321803,0.0003872933],"domain_scores_gemma":[0.9979116,0.000709563,0.0003169735,0.0008601842,0.00005160681,0.0001500785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001545191,0.001916598,0.9903759,0.00002294624,0.0003582844,0.000008081408,0.0006772941,0.000003917036,0.0001880567,0.0003772956,0.0003202789,0.004206187],"study_design_scores_gemma":[0.008980545,0.002987353,0.985231,0.001376074,0.000004947798,0.00002312691,0.0003853992,0.0001654553,0.0006383855,0.00006437631,0.00003194782,0.0001113341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975491,0.0008908031,2.013212e-7,0.0003568505,0.0001025311,0.0008181326,0.000179343,0.00002579342,0.00007731024],"genre_scores_gemma":[0.9867452,0.01286295,0.00002572755,0.00003158731,0.00000403383,0.00003406022,0.0002641774,0.00002381684,0.000008445839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01197214,"threshold_uncertainty_score":0.6017719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09595893749874371,"score_gpt":0.3832444662321081,"score_spread":0.2872855287333643,"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."}}