{"id":"W3094034242","doi":"10.1093/brain/awaa316","title":"Diffuse axonal injury predicts neurodegeneration after moderate–severe traumatic brain injury","year":2020,"lang":"en","type":"article","venue":"Brain","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Wolfson Foundation; UK Dementia Research Institute; National Institute for Health and Care Research; Imperial College Healthcare NHS Trust; Brain Research UK; Weston Brain Institute","keywords":"Diffuse axonal injury; Traumatic brain injury; Fractional anisotropy; Neurodegeneration; White matter; Chronic traumatic encephalopathy; Atrophy; Medicine; Neuroscience; Diffusion MRI; Pathology; Poison control; Magnetic resonance imaging; Psychology; Disease; Concussion; Injury prevention; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004865454,0.0005231447,0.0003307321,0.0006902019,0.0004894912,0.0004391799,0.0002418975,0.0005511685,0.002026653],"category_scores_gemma":[0.002138221,0.0002303226,0.0004579653,0.0004429521,0.0003792667,0.0003740145,0.0006249921,0.0006657157,0.0003730724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741361,"about_ca_system_score_gemma":0.0002844474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002732689,"about_ca_topic_score_gemma":0.004208486,"domain_scores_codex":[0.9998167,0.00003687616,0.00003142577,0.00004520239,0.00003698876,0.00003277582],"domain_scores_gemma":[0.9982972,0.0002241696,0.0008536229,0.0001241105,0.0001515798,0.0003493296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002214746,0.00004238372,0.997875,0.00000758623,0.00005271249,0.00009238405,0.00005040204,0.0001020092,0.0004755759,0.00001532233,0.00004390643,0.001021281],"study_design_scores_gemma":[0.000002758841,0.00009203275,0.9993579,0.000002310629,0.00001132344,0.0002382556,0.00004622166,0.0001386082,0.00004571437,0.0000327003,0.00002991621,0.000002271474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994915,0.0001120445,0.00006227598,0.00003101667,0.000002697414,0.000005094919,0.00006907077,0.000002440723,0.0002239272],"genre_scores_gemma":[0.9996899,0.00004604529,0.00003998127,0.00000600097,0.000006898477,0.000002199337,0.0001151013,9.221903e-7,0.00009293346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002732689,"threshold_uncertainty_score":0.00677979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06925358403255308,"score_gpt":0.3321054108816116,"score_spread":0.2628518268490585,"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."}}