{"id":"W2425740476","doi":"10.1113/jp272207","title":"Measuring cerebral auto‐variability","year":2016,"lang":"en","type":"letter","venue":"The Journal of Physiology","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Interior Health","funders":"","keywords":"Cerebral blood flow; Cerebral perfusion pressure; Cerebral autoregulation; Autoregulation; Perfusion; Blood pressure; Human brain; Intracranial pressure; Constant (computer programming); Blood flow; Mean arterial pressure; Chemistry; Anesthesia; Mathematics; Cardiology; Medicine; Internal medicine; Neuroscience; Psychology; Computer science","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":[0.001224537,0.0006799754,0.0006834115,0.002208116,0.0004012272,0.001617883,0.0008004294,0.000760973,0.003433412],"category_scores_gemma":[0.007445173,0.0002955708,0.0005709773,0.001648701,0.0003994339,0.000971069,0.0009062863,0.001029198,0.001081052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259045,"about_ca_system_score_gemma":0.0005462989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268676,"about_ca_topic_score_gemma":0.002379493,"domain_scores_codex":[0.9986071,0.000219062,0.00007763827,0.0004730309,0.0005384569,0.0000847775],"domain_scores_gemma":[0.9979867,0.0007638361,0.0002965499,0.0002592122,0.0005576215,0.0001360254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001214859,0.0002551182,0.1789751,0.001641119,0.001970775,0.0007955861,0.001830221,0.01124212,0.06153981,0.01151812,0.0254361,0.703581],"study_design_scores_gemma":[0.0001320613,0.0009678059,0.8283948,0.0005258694,0.00101035,0.007009874,0.0009832629,0.03544622,0.03773073,0.03119056,0.0561038,0.000504537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5174343,0.02061477,0.367636,0.001365862,0.001052088,0.0007857723,0.01470146,0.003522326,0.07288742],"genre_scores_gemma":[0.9231146,0.008420401,0.05400936,0.0006077328,0.0009299438,0.0008955058,0.005446744,0.0004163202,0.006159428],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.003433412,"threshold_uncertainty_score":0.01148587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245531137876433,"score_gpt":0.2605037238628136,"score_spread":0.2180484124840493,"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."}}