{"id":"W4255521472","doi":"10.32920/ryerson.14646807","title":"Development of a Hyperspectral NIRS System for Functional Imaging of the Brain and for Cerebral Status Monitoring During Cardiac Surgery","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hyperspectral imaging; Computer science; Biomedical engineering; Optical fiber; Human brain; Materials science; Artificial intelligence; Medicine; Telecommunications","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":[0.0007860365,0.0004668282,0.0003038545,0.0004406823,0.0002417319,0.0004386086,0.000606132,0.0006645616,0.003753819],"category_scores_gemma":[0.0004309587,0.0003157128,0.0003559118,0.0002375798,0.0001906041,0.0007540758,0.0004997075,0.0007641882,0.001715289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003027932,"about_ca_system_score_gemma":0.0007376577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003758699,"about_ca_topic_score_gemma":0.0007203793,"domain_scores_codex":[0.9996392,0.00004584272,0.00001535436,0.00009266051,0.0001759372,0.000031043],"domain_scores_gemma":[0.9997111,0.00004034154,0.00003888884,0.00003036358,0.0001439864,0.0000353175],"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":[0.0003211218,0.0002984085,0.002746005,0.0002409934,0.00005056643,0.0002431644,0.0002422519,0.001945971,0.7918024,0.0019913,0.005194623,0.1949232],"study_design_scores_gemma":[0.0001102758,0.002782368,0.0152694,0.0001087037,0.0001182046,0.001615929,0.0001208127,0.05076563,0.8521062,0.0008398463,0.07601637,0.0001461853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2489735,0.001639632,0.7213969,0.001536552,0.0008450894,0.002057679,0.001365695,0.006243574,0.0159414],"genre_scores_gemma":[0.2725183,0.00157669,0.70293,0.0007060944,0.0001477009,0.001337894,0.0009549663,0.0002703548,0.01955801],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003753819,"threshold_uncertainty_score":0.01255774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829177131131601,"score_gpt":0.2988377652253672,"score_spread":0.2705459939140512,"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."}}