{"id":"W2757554062","doi":"10.1016/j.jstrokecerebrovasdis.2017.08.035","title":"Measurement of Cerebrovascular Reactivity as Blood Oxygen Level-Dependent Magnetic Resonance Imaging Signal Response to a Hypercapnic Stimulus in Mechanically Ventilated Patients","year":2017,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Cerebral blood flow; Magnetic resonance imaging; Anesthesia; Propofol; pCO2; Blood-oxygen-level dependent; Haemodynamic response; White matter; Ischemia; Mechanical ventilation; Hypercapnia; Transcranial Doppler; Cardiology; Nuclear medicine; Internal medicine; Radiology; Blood pressure; Acidosis","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":[0.0007575305,0.0002103013,0.0005662075,0.0002141029,0.0001422715,0.00004379066,0.0002759573,0.00006415403,0.00004761698],"category_scores_gemma":[0.0005934736,0.0001837929,0.0003576234,0.000100104,0.00007867617,0.0002213066,0.0001452407,0.0002434811,0.000002786513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280043,"about_ca_system_score_gemma":0.0002376063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009530704,"about_ca_topic_score_gemma":0.00001796001,"domain_scores_codex":[0.9976901,0.0001098095,0.0006213006,0.0003105695,0.0009990168,0.0002691918],"domain_scores_gemma":[0.9979047,0.00003896983,0.0004315827,0.0006311426,0.0006510971,0.0003424813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006307652,0.004948814,0.4845556,0.0002287807,0.0003615951,0.0001948842,0.0001985526,0.0001370628,0.3834891,0.0000584073,0.0001779265,0.1193416],"study_design_scores_gemma":[0.005249323,0.001291243,0.9570855,0.0008855504,0.0008376963,0.0001038574,0.00009134146,0.0000566204,0.03291979,0.0002184668,0.001057989,0.0002026509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927087,0.003500912,0.00263185,0.0004225314,0.000033132,0.000594094,0.00005266008,0.00001391844,0.0000422019],"genre_scores_gemma":[0.9969274,0.000512425,0.002311374,0.00008088061,0.00004606104,0.00002608313,0.000002544847,0.00002747208,0.00006572469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4725299,"threshold_uncertainty_score":0.7494856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516970355565244,"score_gpt":0.2679284287995715,"score_spread":0.252758725243919,"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."}}