{"id":"W2003083222","doi":"10.1523/jneurosci.0098-07.2007","title":"Accelerated Brain Gray Matter Loss in Fibromyalgia Patients: Premature Aging of the Brain?","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":615,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"GlaxoSmithKline","keywords":"Fibromyalgia; Brain morphometry; Voxel-based morphometry; Neuroimaging; Medicine; Magnetic resonance imaging; Chronic pain; Brain size; Psychology; Neuroscience; Internal medicine; White matter","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":[0.0001237536,0.0001902027,0.0002378239,0.000376883,0.0001687835,0.000155035,0.00009618227,0.000274184,0.001324761],"category_scores_gemma":[0.0003582289,0.00008521922,0.0001015862,0.0001507841,0.0002866578,0.0002464456,0.000154735,0.000190476,0.0001509714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000090614,"about_ca_system_score_gemma":0.00007375623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005185975,"about_ca_topic_score_gemma":0.0009380933,"domain_scores_codex":[0.9999651,0.000006434698,0.000002971712,0.00001035723,0.000006536684,0.000008550718],"domain_scores_gemma":[0.9998643,0.00001345194,0.00007457086,0.00001022854,0.00001233438,0.00002506471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001208623,0.0002283431,0.8405764,0.0001336957,0.0001322112,0.006500384,0.001114126,0.0001106969,0.1240987,0.0001912985,0.0003124161,0.02539301],"study_design_scores_gemma":[0.000006907856,0.0002117485,0.9953032,0.000004498647,0.0000125045,0.003228799,0.0001413421,0.00004105719,0.0008313626,0.00008594838,0.0001303699,0.0000023365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999314,0.000329548,0.00008764991,0.00004061986,0.000004162636,0.000003899374,0.00002452719,0.000002462949,0.0001931131],"genre_scores_gemma":[0.9996154,0.0001372815,0.00009066843,0.00002733583,0.000008419013,0.00000237791,0.00002803794,9.296837e-7,0.00008947326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001324761,"threshold_uncertainty_score":0.004431784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129793426463279,"score_gpt":0.3097909935968091,"score_spread":0.2884930593321763,"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."}}