{"id":"W3025111739","doi":"10.2196/18740","title":"Near-Infrared Cerebrovascular Reactivity for Monitoring Cerebral Autoregulation and Predicting Outcomes in Moderate to Severe Traumatic Brain Injury: Proposal for a Pilot Observational Study","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; National Institutes of Health; University of Manitoba; National Institute of Neurological Disorders and Stroke; Health Sciences Centre Foundation","keywords":"Traumatic brain injury; Cerebral autoregulation; Medicine; Observational study; Glasgow Outcome Scale; Intensive care unit; Emergency medicine; Autoregulation; Blood pressure; Intensive care medicine; Prospective cohort study; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.03316333,0.001255414,0.001014969,0.0007052083,0.002064895,0.001426087,0.001510101,0.001348336,0.00117686],"category_scores_gemma":[0.02489653,0.0005712449,0.001587286,0.001116663,0.001588013,0.002017243,0.001961048,0.002174952,0.0007319911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009453263,"about_ca_system_score_gemma":0.007325531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005519572,"about_ca_topic_score_gemma":0.005369353,"domain_scores_codex":[0.9875559,0.009533925,0.0006500115,0.0006786132,0.0009256879,0.0006558916],"domain_scores_gemma":[0.9825183,0.004250802,0.001300254,0.003816733,0.004055014,0.004059069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06160194,0.05974846,0.8175648,0.0004185206,0.0009402719,0.0008158733,0.003067975,0.000714318,0.006816873,0.001037746,0.004331178,0.04294199],"study_design_scores_gemma":[0.02429751,0.2844276,0.6724795,0.0002053538,0.0008558344,0.0007548867,0.00269077,0.00309269,0.002334645,0.001430696,0.007244964,0.0001856621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9437307,0.0004218153,0.01230756,0.001684847,0.0005096463,0.03728066,0.002320585,0.0001121948,0.001632049],"genre_scores_gemma":[0.8987455,0.0003774992,0.03586059,0.001723739,0.0006699424,0.05849581,0.003171982,0.00003296878,0.0009219552],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.03316333,"threshold_uncertainty_score":0.1753865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3953730693686722,"score_gpt":0.5027105002241153,"score_spread":0.1073374308554431,"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."}}