{"id":"W2367509912","doi":"10.2310/6650.2005.x0015.131","title":"53 MAGNETIC RESONANCE SPECTROSCOPY, DIFFUSION TENSOR IMAGING, AND MAGNETIC RESONANCE PERFUSION IN THE EVALUATION OF FIBROMYALGIA PATIENTS: A PROSPECTIVE STUDY.","year":2006,"lang":"en","type":"article","venue":"Journal of Investigative Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fibromyalgia; White matter; Nuclear medicine; Magnetic resonance imaging; Medicine; Diffusion MRI; Nuclear magnetic resonance; Functional magnetic resonance imaging; Voxel; Perfusion; Internal medicine; Radiology; Physics","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":[0.001080357,0.0007979437,0.0005152259,0.0008632832,0.0008920302,0.0005631571,0.0003335343,0.001408166,0.002170062],"category_scores_gemma":[0.001823775,0.0006944765,0.0004749319,0.0007112138,0.0004357645,0.0007613385,0.0004928598,0.0008142925,0.0007349538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055116,"about_ca_system_score_gemma":0.000277016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176356,"about_ca_topic_score_gemma":0.002378086,"domain_scores_codex":[0.9994287,0.0001961539,0.00005531456,0.0001186684,0.00008796572,0.0001132332],"domain_scores_gemma":[0.9991338,0.0001610375,0.0002495752,0.00005990078,0.00009476094,0.000301029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007660339,0.0004784208,0.9958334,0.00001542227,0.00005876285,0.0005888416,0.0001339396,0.00001795818,0.0007070086,0.00001158662,0.00005959438,0.001329037],"study_design_scores_gemma":[0.00009725182,0.001406341,0.9961566,0.000008496781,0.00004542843,0.001701065,0.0001877023,0.00008476924,0.00008844912,0.0000261389,0.0001895644,0.000008184751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992343,0.0002368447,0.00006891576,0.00003167833,0.000005952408,0.00002811838,0.00007114028,0.0000023927,0.0003206304],"genre_scores_gemma":[0.9992663,0.0001094014,0.0001577802,0.00007146651,0.00002552571,0.00003683559,0.0001485569,0.000002176954,0.0001818974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002170062,"threshold_uncertainty_score":0.007259548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213468740435983,"score_gpt":0.3144427683557297,"score_spread":0.2930958943121313,"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."}}