{"id":"W2053912118","doi":"10.1089/neu.2010.1493","title":"Electrophysiology and Functional MRI in Post-Acute Mild Traumatic Brain Injury","year":2011,"lang":"en","type":"article","venue":"Journal of Neurotrauma","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal General Hospital; Toronto Rehabilitation Institute; University of Toronto; McGill University","funders":"Canadian Institutes of Health Research; Health Research Foundation","keywords":"Functional magnetic resonance imaging; Traumatic brain injury; Psychology; Putamen; Dorsolateral prefrontal cortex; Concussion; Working memory; Executive dysfunction; Neuroscience; Magnetic resonance imaging; Audiology; Blood-oxygen-level dependent; Medicine; Prefrontal cortex; Poison control; Psychiatry; Neuropsychology; Cognition; Injury prevention","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004914911,0.000179297,0.0005206602,0.000578566,0.00004462396,0.00001517923,0.0001398626,0.0001138264,0.000527335],"category_scores_gemma":[0.0002318176,0.0001429718,0.0001417805,0.0003026996,0.0002141926,0.0001985776,0.00003775699,0.0008887476,0.00002228922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006161102,"about_ca_system_score_gemma":0.0002055303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001627991,"about_ca_topic_score_gemma":0.000007284147,"domain_scores_codex":[0.9980754,0.0001986696,0.0007219457,0.0002047131,0.0004247089,0.0003745989],"domain_scores_gemma":[0.9988493,0.0002323422,0.0002401506,0.0002152643,0.0002163718,0.0002466116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02123992,0.002527583,0.01641747,0.000525819,0.001131637,0.002884597,0.005927925,0.000006368732,0.8763953,0.00155789,0.02565254,0.04573293],"study_design_scores_gemma":[0.002948858,0.007318602,0.9800553,0.0001332982,0.00008609262,0.003871831,0.0002091427,0.0001020939,0.003690289,0.001050251,0.0003948821,0.0001393619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937349,0.0001021015,0.00009917594,0.004715145,0.0001904257,0.0002866435,0.000005332809,0.00001393847,0.0008523426],"genre_scores_gemma":[0.9959106,0.0001277366,0.001567958,0.001990386,0.0001767455,0.000008333166,0.000002270534,0.0000327284,0.0001832548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9636378,"threshold_uncertainty_score":0.5830219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1817382746193257,"score_gpt":0.3723173058185373,"score_spread":0.1905790311992116,"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."}}