{"id":"W4388980058","doi":"10.1016/j.brain.2023.100086","title":"Neuroimaging, wearable sensors, and blood-based biomarkers reveal hyperacute changes in the brain after sub-concussive impacts","year":2023,"lang":"en","type":"article","venue":"Brain Multiphysics","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Complementary and Integrative Health; National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Concussion; Angular acceleration; Balance (ability); Medicine; Athletes; Transcranial Doppler; Biomarker; Neuroimaging; Physical medicine and rehabilitation; Internal medicine; Poison control; Acceleration; Physical therapy; Chemistry; Physics; Injury prevention","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001135248,0.0002728072,0.0001947604,0.000553406,0.0002515441,0.0002434795,0.0001423561,0.0002629346,0.001213176],"category_scores_gemma":[0.0003365815,0.0001215996,0.00009797656,0.0002484453,0.0002848722,0.0001522758,0.0003018746,0.0001876122,0.000247833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160899,"about_ca_system_score_gemma":0.0001238786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678057,"about_ca_topic_score_gemma":0.002833104,"domain_scores_codex":[0.9999187,0.00001116852,0.000006340385,0.0000210555,0.00002180554,0.00002088202],"domain_scores_gemma":[0.9998633,0.00001558853,0.00005304812,0.000007223503,0.00002982244,0.00003104402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001851278,0.0007326573,0.6205528,0.0001714555,0.0001048566,0.001894509,0.001704706,0.0003010258,0.3245752,0.00005303659,0.0002876718,0.04777071],"study_design_scores_gemma":[0.00000486027,0.0007767252,0.9900424,0.000007948762,0.00001990392,0.0008747802,0.0004821943,0.0001807366,0.007454638,0.000033379,0.0001183671,0.000003934255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995502,0.00006001885,0.0001605239,0.000006873099,0.000001144748,0.000006654023,0.00003170109,0.000004239388,0.0001786532],"genre_scores_gemma":[0.9992476,0.00009723713,0.000217925,0.00001125218,0.000005481764,0.00001349392,0.000060891,0.000001495969,0.0003446054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001678057,"threshold_uncertainty_score":0.004058421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03837737903204062,"score_gpt":0.3202521598786911,"score_spread":0.2818747808466505,"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."}}