{"id":"W2061516627","doi":"10.1002/mrm.22405","title":"Precise control of end‐tidal carbon dioxide and oxygen improves BOLD and ASL cerebrovascular reactivity measures","year":2010,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Partial pressure; Oxygenation; Carbon dioxide; Cerebral blood flow; Tidal volume; Oxygen; Anesthesia; Chemistry; Cardiology; Nuclear magnetic resonance; Internal medicine; Physics; Medicine; Respiratory system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005739532,0.0005047668,0.0005093196,0.0001707355,0.0001549008,0.00036846,0.0002512886,0.0005250548,0.0005167343],"category_scores_gemma":[0.001069358,0.0001543546,0.0001388571,0.00007774445,0.000423562,0.0003358031,0.0002895383,0.0003920108,0.0001508213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511218,"about_ca_system_score_gemma":0.0001603771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004976248,"about_ca_topic_score_gemma":0.0009452006,"domain_scores_codex":[0.9995846,0.00009541959,0.00001533178,0.0001930735,0.00007717408,0.00003428402],"domain_scores_gemma":[0.9997017,0.0001196564,0.00006551321,0.00004080571,0.00004040569,0.00003194333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001221948,0.0001471888,0.002012091,0.0000797287,0.00003032886,0.00004969331,0.0001033621,0.0005923056,0.9608281,0.00006506099,0.0001402869,0.03472994],"study_design_scores_gemma":[0.000242352,0.00739295,0.1230558,0.00002111457,0.0002138443,0.0006081507,0.000123212,0.02403199,0.8405613,0.0003483273,0.0033417,0.00005912361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428216,0.0006422672,0.05515581,0.0001443344,0.00004968499,0.00007418485,0.0000999195,0.0003126562,0.0006994983],"genre_scores_gemma":[0.9832698,0.0001725537,0.01567196,0.0001172203,0.00004001056,0.00006818123,0.00005328435,0.00003308689,0.0005739632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005739532,"threshold_uncertainty_score":0.003035367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008719362698604663,"score_gpt":0.2620307427906013,"score_spread":0.2533113800919966,"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."}}