{"id":"W2598029772","doi":"10.3389/fneur.2017.00097","title":"Investigating Microstructural Abnormalities and Neurocognition in Sub-Acute and Chronic Traumatic Brain Injury Patients with Normal-Appearing White Matter: A Preliminary Diffusion Tensor Imaging Study","year":2017,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario Neurotrauma Foundation","keywords":"Fractional anisotropy; Diffusion MRI; Traumatic brain injury; White matter; Neuropsychology; Neurocognitive; Neuroimaging; Medicine; Psychology; Physical medicine and rehabilitation; Cardiology; Audiology; Internal medicine; Cognition; Neuroscience; Magnetic resonance imaging; Psychiatry; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002887886,0.0004417816,0.0002878025,0.001090417,0.0004782334,0.000349967,0.0001452621,0.000379249,0.001257922],"category_scores_gemma":[0.0007701706,0.0001841814,0.0001914658,0.0004174192,0.0005396589,0.000315033,0.0003393353,0.0002480158,0.0002274017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167436,"about_ca_system_score_gemma":0.0002889702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003190444,"about_ca_topic_score_gemma":0.003548398,"domain_scores_codex":[0.9998815,0.00001660683,0.0000246904,0.00002757917,0.00001705506,0.00003252058],"domain_scores_gemma":[0.9996643,0.00004739661,0.0001072373,0.00002216926,0.00005347184,0.0001053678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001248329,0.000343222,0.9736698,0.00006703283,0.00008459501,0.002376303,0.0009907571,0.00005215576,0.01599353,0.00002134574,0.00007240302,0.005080584],"study_design_scores_gemma":[0.00002644799,0.0009378007,0.9954218,0.000004629037,0.00003415525,0.002386461,0.000408865,0.00006844669,0.0005764724,0.00001818369,0.0001130342,0.000003498321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999673,0.000126343,0.00003913319,0.00001179309,0.000001464902,0.000008623634,0.00003000921,9.770798e-7,0.0001086539],"genre_scores_gemma":[0.9996055,0.00009851633,0.00008845807,0.00001432198,0.00001031745,0.000007223073,0.00009618529,9.012655e-7,0.00007853268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003190444,"threshold_uncertainty_score":0.006343782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456521141226421,"score_gpt":0.2795929995735592,"score_spread":0.265027788161295,"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."}}