{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002490254,0.0003287293,0.0003939748,0.0003091151,0.0002206076,0.0003865182,0.0001863526,0.0004777309,0.0004342859],"category_scores_gemma":[0.001386166,0.0001253263,0.0002149109,0.0002078246,0.0002466518,0.0001539172,0.0001828233,0.0005609299,0.00009375904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874484,"about_ca_system_score_gemma":0.0001729595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006251977,"about_ca_topic_score_gemma":0.0006729926,"domain_scores_codex":[0.9998037,0.00006057456,0.00002234082,0.00004081532,0.00004112015,0.00003153411],"domain_scores_gemma":[0.9995657,0.0001341642,0.0001362976,0.00002908369,0.00003685,0.0000978913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01471034,0.0007683279,0.7538604,0.0002147937,0.0004064292,0.005577585,0.001194138,0.0006290802,0.200366,0.0002235778,0.0004482325,0.0216011],"study_design_scores_gemma":[0.00003955201,0.00233099,0.9864059,0.000009340637,0.00008793629,0.001646439,0.000217894,0.0007421674,0.00821716,0.00003524474,0.0002532429,0.0000140663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988106,0.0001959474,0.0002886471,0.00003101125,0.00001266408,0.00002061028,0.00007809204,0.000008983551,0.0005534553],"genre_scores_gemma":[0.9996474,0.0000635475,0.0001149521,0.00003379627,0.00001425037,0.00001746502,0.00004852291,0.000001981169,0.00005804392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006251977,"threshold_uncertainty_score":0.001452804,"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."}}