{"id":"W2016547047","doi":"10.1111/micc.12199","title":"Feed the Brain: Insights into the Study of Neurovascular Coupling","year":2015,"lang":"en","type":"editorial","venue":"Microcirculation","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Libin Cardiovascular Institute of Alberta; Université de Montréal; University of Calgary; Western University","funders":"Canadian Institutes of Health Research","keywords":"Neurovascular bundle; Microcirculation; Neuroscience; Cerebral blood flow; Skeletal muscle; Cognitive science; Matching (statistics); Blood flow; Computer science; Medicine; Anatomy; Psychology; Pathology; Cardiology; Internal medicine","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":[0.003829663,0.001880704,0.001461664,0.002644928,0.001327536,0.004807744,0.001545671,0.005473265,0.004720504],"category_scores_gemma":[0.009534456,0.0004719181,0.001157426,0.0008317846,0.002690733,0.003537004,0.001055871,0.01131737,0.002934175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667028,"about_ca_system_score_gemma":0.001499373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000442131,"about_ca_topic_score_gemma":0.001301911,"domain_scores_codex":[0.9984976,0.0003384987,0.0002046515,0.0002152659,0.0006585246,0.00008548929],"domain_scores_gemma":[0.9934308,0.003556689,0.0003171468,0.0001507785,0.001869229,0.000675374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000924253,0.00002348298,0.0000732029,0.001257294,0.00004780396,0.0002884139,0.0001351726,0.00008413252,0.0006383333,0.00465286,0.9589033,0.03380349],"study_design_scores_gemma":[0.00002511361,0.00004732974,0.0002319549,0.0006300493,0.00004969029,0.0004302135,0.00009004085,0.0001497203,0.0002853551,0.004389218,0.9936568,0.00001449733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009998035,0.07100684,0.0003882749,0.03021889,0.8969415,0.00000943046,0.00002004307,0.00003196533,0.001283022],"genre_scores_gemma":[0.001078743,0.04972798,0.0002420988,0.009709129,0.9346499,0.000009504938,0.00001225873,0.00001967562,0.004550734],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.005473265,"threshold_uncertainty_score":0.02025342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222586302884173,"score_gpt":0.2788146680340222,"score_spread":0.2565888050051805,"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."}}