{"id":"W2315824230","doi":"10.1364/isa.2015.im4a.1","title":"Optical wide field brain imaging","year":2015,"lang":"en","type":"article","venue":"","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optical imaging; Neuroimaging; Blood flow; Optical flow; Skull; Cerebral blood flow; Blood oxygenation; Optics; Biomedical engineering; Computer science; Physics; Medicine; Computer vision; Radiology; Anatomy; Image (mathematics)","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":[0.0002151233,0.0006153446,0.0001869677,0.0004723202,0.0002820645,0.0002939446,0.0005518594,0.0005646273,0.004071141],"category_scores_gemma":[0.00017307,0.0002080266,0.0002090367,0.0003077343,0.0002913678,0.0006708321,0.0004291502,0.0004732012,0.0008278345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998832,"about_ca_system_score_gemma":0.0002923161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005818132,"about_ca_topic_score_gemma":0.001032432,"domain_scores_codex":[0.9998765,0.00001160653,0.000004025284,0.00004841975,0.00003598494,0.00002340486],"domain_scores_gemma":[0.9998872,0.0000220995,0.00002460252,0.00001407594,0.00003242377,0.00001966256],"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":[0.00007099487,0.00003773185,0.0002134589,0.0000780229,0.00000807225,0.00007683722,0.00002031025,0.0002036317,0.9643589,0.0008176258,0.0006748128,0.03343961],"study_design_scores_gemma":[0.00004656853,0.0008780417,0.004416528,0.00003139652,0.00004575518,0.002466381,0.00006988445,0.005525914,0.9637942,0.001737849,0.02093955,0.00004806974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3356247,0.005505301,0.6207512,0.001079103,0.0002369714,0.0003240643,0.0008875662,0.002605558,0.03298556],"genre_scores_gemma":[0.6383529,0.004537806,0.3316917,0.0008122125,0.0001807746,0.0005290785,0.0006118951,0.0001755481,0.02310811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004071141,"threshold_uncertainty_score":0.01361936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996180950013792,"score_gpt":0.3463872344081876,"score_spread":0.3264254249080497,"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."}}