{"id":"W4290997069","doi":"10.1136/annrheumdis-2022-eular.2161","title":"POS0111 MORE METICULOUSLY FOLLOWING TREAT-TO-TARGET IN RA DOES NOT LEAD TO LESS RADIOGRAPHIC PROGRESSION: A LONGITUDINAL ANALYSIS IN BIODAM","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McMaster University; Southlake Regional Health Center; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; University of Toronto; Centre Hospitalier Universitaire de Sherbrooke; University of Alberta","funders":"Assistance publique-Hôpitaux de Paris; Université Paris Descartes; Università degli Studi di Ferrara; Institut National de la Santé et de la Recherche Médicale; Università degli Studi di Verona; Université de Bordeaux; Centre Hospitalier Régional Universitaire de Montpellier; Johns Hopkins University; Université de Sherbrooke; Pfizer; Diakonhjemmet; Eli Lilly and Company","keywords":"Medicine; Radiography; Lead (geology); Surgery","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":[0.003163591,0.0006705831,0.001020056,0.0003747728,0.0009680898,0.002144691,0.000778781,0.001848636,0.009063843],"category_scores_gemma":[0.006298264,0.0005422997,0.001711126,0.0008326085,0.0006893083,0.001861526,0.0007159113,0.002903137,0.002444105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004278282,"about_ca_system_score_gemma":0.0008706013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880673,"about_ca_topic_score_gemma":0.00202644,"domain_scores_codex":[0.9987308,0.0003519628,0.00011718,0.0003385677,0.0001687112,0.0002928046],"domain_scores_gemma":[0.9947516,0.00115872,0.001874931,0.0008214166,0.0007214881,0.0006718973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1097461,0.006055549,0.7900993,0.0004562647,0.004230028,0.0004384044,0.0005767436,0.0008273431,0.01456741,0.0008329363,0.00438709,0.06778296],"study_design_scores_gemma":[0.001173194,0.02274124,0.9604234,0.00008532085,0.002524151,0.0006000107,0.0005601757,0.001555972,0.003187674,0.0008540385,0.006219544,0.00007527521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952436,0.001268447,0.0005328832,0.0003315549,0.0001117343,0.00002841794,0.0009442318,0.00003372622,0.00150533],"genre_scores_gemma":[0.9939539,0.000275564,0.0002917928,0.0002118282,0.00007756986,0.00004330373,0.001341679,0.00003636028,0.003767945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009063843,"threshold_uncertainty_score":0.03032154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765374945061633,"score_gpt":0.3500600052131559,"score_spread":0.3224062557625396,"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."}}