{"id":"W2145403933","doi":"10.1016/j.neuroimage.2003.11.025","title":"Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal","year":2004,"lang":"en","type":"article","venue":"NeuroImage","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":689,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Medical Research Council; Canadian Institutes of Health Research; Yükseköğretim Kurulu; Alberta Heritage Foundation for Medical Research; University of Oxford; Council for Higher Education; Heritage Medical Research Institute; Health Research Board; Wellcome Trust; Heart and Stroke Foundation of Canada","keywords":"White matter; Grey matter; Cerebral blood flow; Nuclear magnetic resonance; Transcranial Doppler; Magnetic resonance imaging; Carbon dioxide; Internal medicine; Cardiology; Hemodynamics; SIGNAL (programming language); Chemistry; Anesthesia; Medicine; Physics; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002050104,0.0001453393,0.0002387569,0.0002751032,0.00004063299,0.0000327738,0.00008860663,0.00007668795,0.00002603587],"category_scores_gemma":[0.000537505,0.0001476358,0.00004099197,0.000456189,0.00007239752,0.0001183876,0.00002585886,0.0005202424,0.00000806472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869447,"about_ca_system_score_gemma":0.0002072495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061148,"about_ca_topic_score_gemma":0.00009282263,"domain_scores_codex":[0.9986865,0.00006351904,0.0003790837,0.000336619,0.0002105224,0.000323749],"domain_scores_gemma":[0.9994506,0.00008599758,0.00005374245,0.0002685886,0.00004582531,0.00009519423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002353217,0.0002846305,0.007987929,0.00001632697,0.000002471942,0.0003595239,0.0001829374,0.00003579092,0.9890254,0.001921638,0.00001174057,0.0001480828],"study_design_scores_gemma":[0.003563522,0.0005870011,0.6751009,0.0005617618,0.00005359656,0.00006022396,0.00006746338,0.00301489,0.3005125,0.01602873,0.00002623107,0.0004231556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869937,0.00001337444,0.002085053,0.002864192,0.00009716277,0.0003886688,0.0000059471,0.000189953,0.007361998],"genre_scores_gemma":[0.9850622,0.000007775725,0.01429352,0.0003683619,0.0001467379,0.0000448938,0.00001216191,0.00002673459,0.00003757732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6885129,"threshold_uncertainty_score":0.6020411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850542054952363,"score_gpt":0.2922741616731315,"score_spread":0.2737687411236079,"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."}}