{"id":"W3027915378","doi":"10.1364/brain.2020.bth3c.2","title":"Late-Photons Hyperspectral Near-Infrared Spectroscopy Improves the Sensitivity to Cerebral Oxygenation in Adults","year":2020,"lang":"en","type":"article","venue":"Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN)","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Hyperspectral imaging; Photon; Near-infrared spectroscopy; Multispectral image; Sensitivity (control systems); Spectroscopy; Oxygenation; Monte Carlo method; Infrared; Materials science; Nuclear magnetic resonance; Physics; Optics; Medicine; Remote sensing; Internal medicine; Geology; Mathematics; Astronomy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001258387,0.0002511676,0.0003272571,0.0001911666,0.0001175995,0.0002997375,0.0002784382,0.000467596,0.0007151981],"category_scores_gemma":[0.00430844,0.0002643273,0.0002191134,0.0001058595,0.000226901,0.0002483702,0.0002929005,0.0002637212,0.0001168462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836615,"about_ca_system_score_gemma":0.0002998555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00289429,"about_ca_topic_score_gemma":0.004878035,"domain_scores_codex":[0.9997682,0.0001099822,0.000009899459,0.00004273653,0.00005332629,0.00001597005],"domain_scores_gemma":[0.9983719,0.001205357,0.0001867904,0.00007641667,0.0001053281,0.0000542503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006155525,0.0005214746,0.4171925,0.0002386272,0.000462432,0.0007901375,0.0005027434,0.3005456,0.1746648,0.002964022,0.001070784,0.09489136],"study_design_scores_gemma":[0.0001030395,0.002013988,0.1375559,0.00004674893,0.0002074642,0.0009973168,0.00007718939,0.7777805,0.07858121,0.001690661,0.0008735072,0.00007257928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502525,0.0004572406,0.0479109,0.0001247932,0.0000100029,0.00003119862,0.0001343641,0.0001779041,0.0009011496],"genre_scores_gemma":[0.9888577,0.0001600168,0.01059568,0.00006389672,0.000004677342,0.00001593628,0.00005561661,0.00001680287,0.0002295841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00289429,"threshold_uncertainty_score":0.006655097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119866776666419,"score_gpt":0.2847292183209892,"score_spread":0.273530550554325,"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."}}