{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001309281,0.000190418,0.0004520211,0.0002256202,0.000082268,0.000007026066,0.0001399501,0.00003994659,0.00005397637],"category_scores_gemma":[0.0008190339,0.0001112538,0.00004287577,0.0005621812,0.0008450337,0.0001111846,0.00003924331,0.0003858625,5.471866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698606,"about_ca_system_score_gemma":0.000111191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001527392,"about_ca_topic_score_gemma":0.00002185176,"domain_scores_codex":[0.9974817,0.00024241,0.0007880351,0.000239608,0.001071955,0.0001762753],"domain_scores_gemma":[0.9979094,0.000143535,0.0005291757,0.0002545165,0.001085471,0.00007790227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003307306,0.001190626,0.9332985,0.00007256737,0.000003047956,0.00002895673,0.004567476,0.00001318328,0.03689789,0.000693662,0.002616786,0.02028655],"study_design_scores_gemma":[0.005623167,0.005220665,0.9673319,0.001429931,0.0001973393,0.00006490813,0.002147106,0.001029277,0.002318208,0.01408865,0.0004556233,0.00009322176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758558,0.01765263,0.000190125,0.003938836,0.00003332986,0.001787988,0.000004967891,0.000009522507,0.0005268475],"genre_scores_gemma":[0.9925886,0.0003763275,0.006595232,0.0001382096,0.0001264408,0.00006607411,0.000005074785,0.00001690426,0.00008714153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03457968,"threshold_uncertainty_score":0.4536799,"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."}}