{"id":"W4220824410","doi":"10.1177/0271678x221077338","title":"Mapping oxidative metabolism in the human brain with calibrated fMRI in health and disease","year":2022,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; Sunnybrook Hospital; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Human brain; Cerebral blood flow; Human studies; Brain mapping; Brain activity and meditation; Neuroimaging; Human disease; Disease; Premovement neuronal activity","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":[0.001313235,0.0005235852,0.0005845972,0.00126857,0.0001179907,0.0007406754,0.0005780518,0.001124869,0.0007082698],"category_scores_gemma":[0.001104397,0.0002724511,0.0002956706,0.0008624364,0.0006462332,0.001015202,0.0005114887,0.0007178929,0.0004179327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368733,"about_ca_system_score_gemma":0.0003640319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004969038,"about_ca_topic_score_gemma":0.0008750804,"domain_scores_codex":[0.9997227,0.00009767987,0.00002563047,0.00006823811,0.00006307865,0.00002270777],"domain_scores_gemma":[0.9995963,0.0002500639,0.00005208189,0.0000158709,0.00006747968,0.00001822112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003757309,0.00009191055,0.002327571,0.01475857,0.0002960979,0.0006700034,0.0002480113,0.0008819656,0.09299233,0.005508021,0.01060506,0.8712447],"study_design_scores_gemma":[0.00007849377,0.001994452,0.04325627,0.01041968,0.001389524,0.01851976,0.0005232861,0.006167475,0.132466,0.02781385,0.7570417,0.0003295754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003982355,0.9870318,0.006762125,0.0006624048,0.0001947416,0.00001122718,0.0000407987,0.00003841056,0.001276294],"genre_scores_gemma":[0.02510817,0.9624745,0.01016433,0.0005186881,0.0006486397,0.00004592376,0.00007899992,0.00001746802,0.0009433508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001313235,"threshold_uncertainty_score":0.006945133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653617966737286,"score_gpt":0.2938149907030118,"score_spread":0.2772788110356389,"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."}}