{"id":"W3113293558","doi":"10.1186/s41983-020-00232-w","title":"Association between microstructural white matter abnormalities and cognitive functioning in patients with type 2 diabetes mellitus: a diffusion tensor imaging study","year":2020,"lang":"en","type":"article","venue":"The Egyptian Journal of Neurology Psychiatry and Neurosurgery","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fractional anisotropy; Diffusion MRI; Montreal Cognitive Assessment; White matter; Cognition; Medicine; Internal medicine; Type 2 Diabetes Mellitus; Type 2 diabetes; Diabetes mellitus; Audiology; Cognitive impairment; Psychology; Psychiatry; Magnetic resonance imaging; Endocrinology; Radiology","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":[0.0004358162,0.00041181,0.0003469568,0.0009882329,0.0004407867,0.0005727428,0.0002362462,0.0004761361,0.001480696],"category_scores_gemma":[0.001139253,0.0002900026,0.000410681,0.0008919711,0.0002539786,0.0003676612,0.000302511,0.0004233967,0.0001646872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084706,"about_ca_system_score_gemma":0.0002335434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363602,"about_ca_topic_score_gemma":0.002548631,"domain_scores_codex":[0.9997708,0.0000451584,0.00003987336,0.00006427956,0.00004241045,0.00003744445],"domain_scores_gemma":[0.9993156,0.0001218637,0.0002929782,0.00004659501,0.00007349849,0.0001494722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001736781,0.00007332963,0.998668,0.000009668214,0.00007299911,0.0001806523,0.00004491725,0.00001399577,0.0002148315,0.00000917506,0.00003197723,0.0005068154],"study_design_scores_gemma":[0.00001243748,0.0001317855,0.9987987,0.000005131114,0.00005540066,0.0006451536,0.0001187798,0.00009309177,0.0000494792,0.00001961517,0.00006744623,0.000003015598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993974,0.0002487019,0.00003904331,0.00002900379,0.000005022652,0.000005938636,0.00009501637,0.00000110367,0.0001787875],"genre_scores_gemma":[0.9996272,0.00009358549,0.00005232825,0.00001584798,0.00001362777,0.000004539518,0.0001066316,6.269792e-7,0.00008556496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002363602,"threshold_uncertainty_score":0.004953444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547545524210734,"score_gpt":0.2521714892350559,"score_spread":0.2366960339929486,"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."}}