{"id":"W2376860413","doi":"10.1177/0271678x16649195","title":"Contribution of low- and high-flux capillaries to slow hemodynamic fluctuations in the cerebral cortex of mice","year":2016,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Hypercapnia; Flux (metallurgy); Cerebral blood flow; Cerebral cortex; Hemodynamics; Cardiology; Chemistry; Internal medicine; Nuclear magnetic resonance; Medicine; Physics; Acidosis","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":[0.0004181841,0.0001484867,0.0005873602,0.0002174692,0.00005004694,0.00000968421,0.0001813933,0.00009279822,0.00003827001],"category_scores_gemma":[0.0003196695,0.00008451388,0.0001341102,0.0003346442,0.0001460126,0.000193153,0.00004005998,0.0001998061,0.00000158444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002552784,"about_ca_system_score_gemma":0.0001100611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000297115,"about_ca_topic_score_gemma":0.00002546331,"domain_scores_codex":[0.9984787,0.00006574512,0.0007634165,0.0001422918,0.000348727,0.0002011207],"domain_scores_gemma":[0.9984322,0.000163384,0.0004812083,0.0002577111,0.0005537029,0.0001118183],"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":[0.0004816876,0.001006315,0.004469636,0.0001016607,0.0001762131,0.00001636599,0.0009073444,0.00008930246,0.9174923,0.05915837,0.0009093965,0.01519136],"study_design_scores_gemma":[0.01239009,0.0009027972,0.6133097,0.0009727052,0.001334772,0.0006471808,0.0004740946,0.0004116351,0.3350129,0.03044538,0.003752244,0.0003464052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493696,0.0009364028,0.04302592,0.005969059,0.00009093275,0.0004625483,0.00008269218,0.00001018947,0.00005262058],"genre_scores_gemma":[0.9730906,0.0002842178,0.02604281,0.0002938802,0.0001791893,0.00001407593,0.000008698405,0.00001438856,0.00007208935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6088401,"threshold_uncertainty_score":0.3446376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00575956864812496,"score_gpt":0.2545498531691584,"score_spread":0.2487902845210334,"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."}}