{"id":"W2780464109","doi":"10.1089/neu.2017.5364","title":"Transcranial Doppler Systolic Flow Index and ICP-Derived Cerebrovascular Reactivity Indices in Traumatic Brain Injury","year":2017,"lang":"en","type":"article","venue":"Journal of Neurotrauma","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute for Health and Care Research","keywords":"Transcranial Doppler; Correlation; Cerebral perfusion pressure; Cardiology; Traumatic brain injury; Mean arterial pressure; Medicine; Intracranial pressure; Internal medicine; Cerebral blood flow; Anesthesia; Blood pressure; Mathematics; Heart rate","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009914337,0.0003281777,0.001021637,0.0003763729,0.0002653459,0.0001734252,0.0004158037,0.000187286,0.0000591959],"category_scores_gemma":[0.0006319871,0.0002678759,0.0004308721,0.0001446375,0.0003898683,0.0007580717,0.00004357657,0.0009728552,0.000004308128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004902845,"about_ca_system_score_gemma":0.0001312308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006869132,"about_ca_topic_score_gemma":0.00008073435,"domain_scores_codex":[0.997358,0.0002873266,0.000911927,0.0003607236,0.0007096031,0.0003723984],"domain_scores_gemma":[0.9979008,0.0002396478,0.0007948625,0.0006818418,0.00009761714,0.0002852467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01020742,0.004784893,0.264972,0.005328451,0.002295531,0.005730668,0.01787387,0.0001338807,0.282555,0.0003120746,0.00284865,0.4029576],"study_design_scores_gemma":[0.006531004,0.001058386,0.982551,0.0006790895,0.0002391871,0.00344202,0.000204712,0.0003680759,0.00336164,0.0002323896,0.001081851,0.0002506283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945028,0.0003357302,0.0001660604,0.003576243,0.0004314729,0.000503867,0.000009346089,0.00002258722,0.0004518903],"genre_scores_gemma":[0.9984171,0.0002503184,0.0003578022,0.000578349,0.0003107699,0.00001136571,0.000001381937,0.00004362315,0.00002923436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7175789,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05691124327309217,"score_gpt":0.320786105759957,"score_spread":0.2638748624868649,"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."}}