{"id":"W4316494590","doi":"10.1093/rheumatology/kead021","title":"Stricter treat-to-target in RA does not result in less radiographic progression: a longitudinal analysis in RA BIODAM","year":2023,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McMaster University; 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":"AbbVie","keywords":"Radiography; Medicine; Longitudinal data; Internal medicine; Radiology; Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006510228,0.0003696231,0.0005171618,0.0003802139,0.0005263659,0.0008997477,0.0005212317,0.0007439567,0.002305375],"category_scores_gemma":[0.006323167,0.0003844753,0.001410546,0.0005647913,0.0003906002,0.0006057866,0.0006252188,0.001286078,0.000383983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235901,"about_ca_system_score_gemma":0.0008321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003251278,"about_ca_topic_score_gemma":0.002358419,"domain_scores_codex":[0.9981998,0.001002168,0.00009615113,0.0003324684,0.0001653316,0.0002040837],"domain_scores_gemma":[0.9947173,0.001265686,0.002108554,0.0008663121,0.0004072217,0.0006349608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008839504,0.0005614863,0.9827125,0.00005543134,0.001036165,0.0001268137,0.0002991091,0.0002058101,0.001114856,0.00007027443,0.000201741,0.004776365],"study_design_scores_gemma":[0.0003000903,0.006218262,0.9901708,0.00003039578,0.00068253,0.0002609757,0.0002379681,0.001100569,0.0002639153,0.00009346198,0.0006245994,0.00001651966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988263,0.000566428,0.0002299701,0.00005724497,0.000006967064,0.00001277391,0.0001425627,0.000004725634,0.0001528349],"genre_scores_gemma":[0.9991469,0.00009992239,0.000122332,0.00003297417,0.000009371201,0.00001856478,0.000238704,0.000003734879,0.0003274511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006510228,"threshold_uncertainty_score":0.03442979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690549751701567,"score_gpt":0.3086585525776505,"score_spread":0.2817530550606348,"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."}}