{"id":"W2510524428","doi":"10.1364/boe.7.003659","title":"Assessment of a multi-layered diffuse correlation spectroscopy method for monitoring cerebral blood flow in adults","year":2016,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Cerebral blood flow; Biomedical engineering; Imaging phantom; Blood flow; Diffuse optical imaging; Perfusion; Brain tissue; SIGNAL (programming language); Cerebral perfusion pressure; Materials science; Medicine; Nuclear medicine; Tomography; Radiology; Computer science; Anesthesia","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":[0.0004364152,0.0002084505,0.0005157512,0.0002259252,0.00003417223,0.00001518843,0.000154173,0.0002186918,0.00001772089],"category_scores_gemma":[0.0005358399,0.000143288,0.0001338198,0.0001933508,0.0001693716,0.00009129713,0.00006871559,0.0002225214,0.000001499903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124095,"about_ca_system_score_gemma":0.0001074683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003093444,"about_ca_topic_score_gemma":8.869292e-7,"domain_scores_codex":[0.9980726,0.00006260132,0.0005859545,0.0004056492,0.0004445138,0.0004286839],"domain_scores_gemma":[0.9986715,0.0004286385,0.0001369547,0.0003588126,0.00014052,0.0002636143],"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":[0.0002703129,0.002586243,0.04688585,0.0003120246,0.00007757763,0.00002511241,0.000121794,0.000003494806,0.9433975,0.001347837,0.0000833645,0.004888856],"study_design_scores_gemma":[0.02282817,0.002582664,0.04268999,0.003760179,0.0002475179,0.0000264804,0.00009948498,0.2906137,0.6357418,0.0007911301,0.0001771833,0.0004417284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1837576,0.00005650363,0.8141225,0.0008065563,0.0002774516,0.000652939,0.00005060624,0.0001212556,0.000154563],"genre_scores_gemma":[0.4491416,0.0000499303,0.5504646,0.00001644194,0.0001434284,0.00007710052,0.00001209086,0.00002223862,0.00007256654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3076558,"threshold_uncertainty_score":0.5843115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209715069513021,"score_gpt":0.3679002230318887,"score_spread":0.3469287160805866,"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."}}