{"id":"W2041347760","doi":"10.1117/1.3449579","title":"Quantitative measurement of cerebral blood flow in a juvenile porcine model by depth-resolved near-infrared spectroscopy","year":2010,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Compute Canada; Lawson Health Research Institute; Heart and Stroke Foundation of Canada","keywords":"Cerebral blood flow; Scalp; Medicine; Neurointensive care; Anesthesia; Perfusion; Blood flow; Skull; Traumatic brain injury; Ischemia; Biomedical engineering; Nuclear medicine; Internal medicine; Surgery","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":[0.001259459,0.0002217314,0.0008633751,0.0002817358,0.00003659247,0.00003031285,0.0002345095,0.0002280915,0.00009255208],"category_scores_gemma":[0.001181234,0.0001682264,0.0002234004,0.0003230813,0.0005097493,0.0001218168,0.0000484506,0.001268586,0.000002554915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009838931,"about_ca_system_score_gemma":0.0006484874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002083683,"about_ca_topic_score_gemma":0.00001265931,"domain_scores_codex":[0.9968297,0.00004560588,0.001203198,0.0001993444,0.001319824,0.0004023174],"domain_scores_gemma":[0.9981546,0.00009298013,0.0004343396,0.0002709241,0.0005708191,0.0004763068],"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":[0.0005639447,0.002276402,0.002599308,0.0001012413,0.0001623937,0.0001404876,0.000267545,0.00001406796,0.9834356,0.0003956985,0.009541609,0.0005016592],"study_design_scores_gemma":[0.009673032,0.00959967,0.002094528,0.0009600052,0.0007131435,0.000444678,0.0001815435,0.3759124,0.5950639,0.003659135,0.001275515,0.0004224683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551016,0.0006074826,0.1351286,0.005433775,0.000400041,0.0003590434,0.000037096,0.00005611505,0.002876212],"genre_scores_gemma":[0.538085,0.00007385723,0.4614889,0.0001565491,0.00009491322,0.000002380132,0.000006560481,0.00002298468,0.000068786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3883717,"threshold_uncertainty_score":0.6860073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999294288827499,"score_gpt":0.309649442168701,"score_spread":0.289656499280426,"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."}}