{"id":"W2567681953","doi":"10.1093/rheumatology/kew429","title":"Diffusion-weighted imaging is a sensitive biomarker of response to biologic therapy in enthesitis-related arthritis","year":2016,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Versus Arthritis; NIHR Sheffield Biomedical Research Centre; University College London; University College London Hospitals NHS Foundation Trust; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research","keywords":"Medicine; Sacroiliitis; Effective diffusion coefficient; Radiological weapon; Diffusion MRI; Receiver operating characteristic; Enthesitis; Nuclear medicine; Radiology; Magnetic resonance imaging; Arthritis; Internal medicine; Psoriatic arthritis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001799633,0.0004356582,0.0005282953,0.0008505235,0.0001504929,0.0004364501,0.0001924876,0.0005343431,0.0007423738],"category_scores_gemma":[0.004875864,0.0001528014,0.0002301768,0.0003661765,0.000351281,0.0004990955,0.0002584013,0.0003450885,0.0002745806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890424,"about_ca_system_score_gemma":0.0001712901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006968121,"about_ca_topic_score_gemma":0.000867427,"domain_scores_codex":[0.9990866,0.0003570491,0.0001228759,0.0001275251,0.0002427482,0.00006318079],"domain_scores_gemma":[0.9975258,0.0007600577,0.00106197,0.00005304825,0.0004544254,0.0001447429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008295708,0.0001555901,0.9674201,0.0001813924,0.0001661925,0.0001581561,0.00008954555,0.0004075177,0.01154184,0.00002805858,0.0002230297,0.0187991],"study_design_scores_gemma":[0.00003906626,0.001141673,0.9914048,0.00004436504,0.000102988,0.001264054,0.0001458234,0.001562744,0.003578095,0.00003904139,0.0006654373,0.00001204443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935307,0.004652278,0.0007607756,0.0001149717,0.00001439128,0.00003063892,0.0001814864,0.00001999104,0.0006947633],"genre_scores_gemma":[0.9985781,0.0004373949,0.0006495944,0.00002770902,0.00002535654,0.00001120659,0.0001127169,0.000001879506,0.0001560053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001799633,"threshold_uncertainty_score":0.009517431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326831865239375,"score_gpt":0.2626639119908494,"score_spread":0.2493955933384557,"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."}}