{"id":"W4379648828","doi":"10.1136/annrheumdis-2023-eular.2287","title":"AB0196 IMPACT OF ANTIRHEUMATIC TREATMENTS ON THE INDIVIDUAL COMPONENTS OF THE ACR COMPOSITE SCORE IN PATIENTS WITH RA: REAL-WORLD DATA FROM TWO REGISTRIES","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Clinical Research Institute; Toronto General Hospital; University of Toronto; Université Laval","funders":"Canadian Institutes of Health Research; Eli Lilly Canada; Pfizer Pharmaceuticals; Sandoz Canada; Ontario Ministry of Health and Long-Term Care; Celgene; Teva Pharmaceutical Industries; Gilead Sciences; Canadian Arthritis Network; Pfizer Canada; Sanofi; Amgen Canada; AbbVie Canada; Amgen; Pfizer; Eli Lilly and Company","keywords":"Medicine; Tofacitinib; Internal medicine; Abatacept; Rheumatoid arthritis; Clinical endpoint; Physical therapy; Randomized controlled trial; Rituximab","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005034926,0.0003884966,0.001151677,0.00147179,0.0003698677,0.001854704,0.0006145504,0.0008754085,0.001642642],"category_scores_gemma":[0.01439577,0.0004363644,0.001411666,0.00536723,0.0004307231,0.0009853406,0.0008746414,0.0009395808,0.0004421881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004524911,"about_ca_system_score_gemma":0.0006432303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008465813,"about_ca_topic_score_gemma":0.008527971,"domain_scores_codex":[0.9918811,0.00412988,0.001379267,0.001174956,0.0009592132,0.0004756181],"domain_scores_gemma":[0.9765174,0.006744247,0.01271057,0.002095176,0.001273381,0.000659147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001519787,0.00006103954,0.9936313,0.00008935839,0.001038615,0.00008625114,0.00006375081,0.0002681449,0.0001372157,0.00007636692,0.0007821643,0.002246149],"study_design_scores_gemma":[0.0002441199,0.0001617896,0.9968863,0.00003840048,0.0005482453,0.0003460993,0.000199784,0.0004737397,0.0000695526,0.00006981909,0.0009434202,0.00001861706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786617,0.001800585,0.0002576016,0.0002349573,0.00002667817,0.00002277832,0.01753248,0.00001577635,0.001447495],"genre_scores_gemma":[0.9866835,0.0006595481,0.0002285329,0.0001005099,0.00003601111,0.00003437778,0.01207718,0.000008583362,0.0001717676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008465813,"threshold_uncertainty_score":0.02662754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1318129099830123,"score_gpt":0.3664070940642362,"score_spread":0.2345941840812238,"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."}}