{"id":"W2993261428","doi":"10.1007/s12028-019-00885-3","title":"Relationship Between Measures of Cerebrovascular Reactivity and Intracranial Lesion Progression in Acute TBI Patients: an Exploratory Analysis","year":2019,"lang":"en","type":"article","venue":"Neurocritical Care","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Cambridge Trust; Cambridge Commonwealth Trust; National Institute of Biomedical Imaging and Bioengineering; NIHR Cambridge Biomedical Research Centre; Academy of Medical Sciences; National Institutes of Health; University of Cambridge; Department of Health and Social Care; Cambridge University Hospitals; National Institute for Health and Care Research","keywords":"Medicine; Traumatic brain injury; Intracranial pressure; Cerebral perfusion pressure; Lesion; Neurology; Population; Cohort; Cardiology; Internal medicine; Radiology; Anesthesia; Cerebral blood flow; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002105192,0.0001485883,0.0004854102,0.0002097492,0.00004929133,0.00001525765,0.00007528416,0.0001213499,0.00001218858],"category_scores_gemma":[0.0004956063,0.0001259762,0.0001625031,0.0004618741,0.0001023449,0.000264059,0.000039923,0.0003341218,0.000003262022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002835767,"about_ca_system_score_gemma":0.00003465932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001006861,"about_ca_topic_score_gemma":0.00002226814,"domain_scores_codex":[0.9982169,0.0003346574,0.0003356675,0.0004121942,0.0005141633,0.0001864474],"domain_scores_gemma":[0.9989316,0.0003064674,0.00005477892,0.0003846553,0.0001790999,0.0001434017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001560695,0.000187097,0.9900829,0.0003016516,0.00006895718,0.00001317557,0.0005609536,0.000001471623,0.0007290087,0.0001094278,0.000002753901,0.007786519],"study_design_scores_gemma":[0.001380266,0.0007221621,0.9941797,0.0001068758,0.0009409999,0.000003526698,0.0004038262,0.00003301195,0.00200438,0.00008206614,0.00003065828,0.0001125541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989868,0.0001614324,0.0000666299,0.0001103844,0.00005721339,0.0004276826,0.0000257144,0.0000342791,0.0001298901],"genre_scores_gemma":[0.9995089,0.00001004824,0.0002412784,0.0000738023,0.00003675259,0.00001411836,0.00009571927,0.00001695407,0.000002381537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007673965,"threshold_uncertainty_score":0.5137159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0456227297924859,"score_gpt":0.3171341374817923,"score_spread":0.2715114076893064,"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."}}