{"id":"W4284671617","doi":"10.1002/hbm.26003","title":"Memory retrieval brain–behavior disconnection in mild traumatic brain injury: A magnetoencephalography and diffusion tensor imaging study","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; London Health Sciences Centre; SickKids Foundation; University of Toronto; Western University; Mental Health Research Canada; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Canadian Institute for Military and Veteran Health Research; Institute of Development and Economic Alternatives; Defence Research and Development Canada; Brain and Behavior Research Foundation","keywords":"Magnetoencephalography; Disconnection; Diffusion MRI; Traumatic brain injury; Psychology; Neuroscience; Tractography; Medicine; Magnetic resonance imaging; Electroencephalography; 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":[0.0007492504,0.0005172305,0.0004112853,0.001221266,0.0005195205,0.0004776958,0.0004381249,0.0006354189,0.001118033],"category_scores_gemma":[0.001822118,0.0002258425,0.000285881,0.0005894551,0.0007162751,0.0006129009,0.0006149767,0.0005134487,0.0002978713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208539,"about_ca_system_score_gemma":0.0004499978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003019795,"about_ca_topic_score_gemma":0.002951743,"domain_scores_codex":[0.9998354,0.00002858109,0.0000240929,0.00004489396,0.00003110114,0.00003589924],"domain_scores_gemma":[0.9994512,0.0000704981,0.0002004817,0.00006461525,0.00007722422,0.0001359013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003559992,0.002819567,0.9210247,0.0002097983,0.0004012513,0.01304869,0.002732042,0.0003709427,0.03409875,0.0003282246,0.0003275594,0.02107856],"study_design_scores_gemma":[0.00004371075,0.0008599334,0.9926257,0.000009397069,0.00006603136,0.004659993,0.0003841156,0.0003764728,0.0005972515,0.000158193,0.0002054827,0.00001366841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992533,0.0001852514,0.0002039143,0.00004306629,0.000004190039,0.00002537552,0.00004915333,0.000002416135,0.0002333993],"genre_scores_gemma":[0.9993148,0.0001153202,0.000203015,0.0000234987,0.00002334015,0.00001687094,0.000143828,0.00000206237,0.0001572143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003019795,"threshold_uncertainty_score":0.006004453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09037558169320231,"score_gpt":0.3688843118268361,"score_spread":0.2785087301336338,"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."}}