{"id":"W2940524989","doi":"10.1117/1.nph.5.4.045006","title":"Noninvasive continuous optical monitoring of absolute cerebral blood flow in critically ill adults","year":2018,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Cerebral blood flow; Calibration; Blood flow; Indocyanine green; Biomedical engineering; Medicine; Correlation coefficient; Diffuse optical imaging; Materials science; Nuclear medicine; Anesthesia; Nuclear magnetic resonance; Mathematics; Cardiology; Surgery; Physics; Radiology; Statistics","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":[0.0002646316,0.0003260635,0.0002791236,0.0003312022,0.0001835524,0.0002058107,0.0001981874,0.0002993011,0.0002628118],"category_scores_gemma":[0.0009649581,0.00009596358,0.0000877639,0.0001357976,0.0003697956,0.000216933,0.0002333965,0.0003912249,0.00006044891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000119,"about_ca_system_score_gemma":0.0003007256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006209468,"about_ca_topic_score_gemma":0.0006199657,"domain_scores_codex":[0.9998367,0.00005741255,0.00001091715,0.00003508156,0.00004251676,0.00001726042],"domain_scores_gemma":[0.999611,0.0001348663,0.0001055678,0.00003983844,0.00004346488,0.00006533026],"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":[0.008150782,0.001242312,0.2547252,0.0002937028,0.00007329382,0.001956358,0.0006690726,0.004259781,0.5826061,0.0009352478,0.0007573535,0.1443308],"study_design_scores_gemma":[0.0005264583,0.04265119,0.5476319,0.00006620976,0.0001919957,0.009672284,0.0005250824,0.04416364,0.3508759,0.0007645349,0.002811994,0.0001188551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923896,0.0003954055,0.00674607,0.00004983,0.000005963639,0.00004621681,0.0000452298,0.00002824773,0.0002935349],"genre_scores_gemma":[0.9907424,0.0002023322,0.00879265,0.00004655385,0.00001836347,0.00007382814,0.00005438608,0.00000433483,0.00006520929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006209468,"threshold_uncertainty_score":0.001451254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009798459849169197,"score_gpt":0.281999146315758,"score_spread":0.2722006864665887,"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."}}