{"id":"W4405739101","doi":"10.1364/laop.2024.tu4a.21","title":"Characterizing Blood Vessels in Blood Flow Phantoms Using Spatial Angle Filter Imaging for Improved Imaging Depth in Light Scattering Media","year":2024,"lang":"en","type":"article","venue":"","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Blood flow; Materials science; Optics; Medical imaging; Light scattering; Scattering; Biomedical engineering; Optical imaging; Physics; Radiology; Medicine","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":[0.0005959197,0.00042843,0.0001582869,0.0003492071,0.0001566758,0.0004005912,0.0001890323,0.0004185738,0.0007161699],"category_scores_gemma":[0.0006737602,0.0002322601,0.0001960989,0.0001919835,0.00035647,0.0005207614,0.000197506,0.0002982191,0.0001723441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481858,"about_ca_system_score_gemma":0.0003150297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000905039,"about_ca_topic_score_gemma":0.001381049,"domain_scores_codex":[0.9998833,0.00003073717,0.000005064283,0.00002550836,0.00003379883,0.00002156005],"domain_scores_gemma":[0.9995509,0.0002273625,0.0001147372,0.00002822493,0.00005126765,0.00002756882],"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":[0.00004873977,0.00001168724,0.0001782082,0.00002813137,0.000001916455,0.00001675661,0.00002790877,0.0003059722,0.997709,0.0001395658,0.0000155468,0.001516419],"study_design_scores_gemma":[0.000005105143,0.0001426079,0.001276479,0.000003586078,0.000008237275,0.0001053475,0.00002224357,0.005534424,0.9921345,0.00008579527,0.0006731435,0.000008581045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143587,0.001277231,0.1818105,0.000189413,0.00003507921,0.00006623561,0.0001580873,0.0003663144,0.001738585],"genre_scores_gemma":[0.8555102,0.001576742,0.1404613,0.00009559645,0.00002076175,0.00005799102,0.0001382124,0.00006625651,0.002072936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000905039,"threshold_uncertainty_score":0.003151536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490680321810437,"score_gpt":0.3005431537153738,"score_spread":0.2856363504972694,"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."}}