{"id":"W2028570395","doi":"10.3174/ajnr.a2032","title":"Correlation of Automated Volumetric Analysis of Brain MR Imaging with Cognitive Impairment in a Natural History Study of Mucopolysaccharidosis II","year":2010,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Lysosomal Storage Disorders Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of North Carolina at Chapel Hill; National Institutes of Health","keywords":"Medicine; Magnetic resonance imaging; Cognitive impairment; Neuroimaging; Cognition; Brain size; White matter; Nuclear medicine; Cognitive decline; Correlation; Montreal Cognitive Assessment; Internal medicine; Cardiology; Radiology; Dementia; Disease; Psychiatry","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":[0.001001647,0.0003435772,0.0002081124,0.001015607,0.0002315188,0.0005056604,0.0003542055,0.0003776707,0.0005977565],"category_scores_gemma":[0.006006074,0.0002279118,0.0002182196,0.0003140781,0.0003601079,0.000277842,0.0003456294,0.0003817882,0.0001116422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293142,"about_ca_system_score_gemma":0.0001692498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503527,"about_ca_topic_score_gemma":0.001350735,"domain_scores_codex":[0.9993922,0.000261148,0.00006878507,0.0001086821,0.0001241872,0.00004517079],"domain_scores_gemma":[0.9955448,0.001087152,0.002245263,0.0003176099,0.0004796814,0.0003254554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001116332,0.00002726632,0.9978612,0.00000522597,0.00005370452,0.0001177144,0.0000723543,0.00006805651,0.0005536674,0.000008497955,0.00004030231,0.001080416],"study_design_scores_gemma":[0.00000476442,0.0001077186,0.9987437,0.000002680421,0.00001461023,0.0005533417,0.00005894245,0.0002994929,0.0001618731,0.00001457732,0.00003550932,0.000002841397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996855,0.00007307733,0.00008570126,0.00001412197,0.000001920938,0.000003310511,0.00003736495,0.000002988268,0.00009593886],"genre_scores_gemma":[0.9997531,0.00001807811,0.0001107356,0.000007406848,0.000004249729,0.000004071489,0.00007075179,0.00000131464,0.00003026829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001503527,"threshold_uncertainty_score":0.005297244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009677511132431807,"score_gpt":0.2927132331167608,"score_spread":0.283035721984329,"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."}}