{"id":"W2467703279","doi":"10.1364/boe.7.002769","title":"Simultaneous assessment of red blood cell aggregation and oxygen saturation under pulsatile flow using high-frequency photoacoustics","year":2016,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Pulsatile flow; Blood flow; Oxygen saturation; Photoacoustic imaging in biomedicine; Red blood cell; Hemodynamics; Beat (acoustics); Blood viscosity; Materials science; Oxygen; Erythrocyte aggregation; Biomedical engineering; Chemistry; Medicine; Optics; Cardiology; Internal medicine; Hematocrit; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073883,0.0001820549,0.0001497713,0.000268402,0.0001261215,0.0002024052,0.0001216323,0.0002534517,0.0002388018],"category_scores_gemma":[0.0004372431,0.0001042314,0.0001147927,0.0001880944,0.0002364898,0.0002619784,0.000163751,0.000389894,0.00005356427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888563,"about_ca_system_score_gemma":0.0001375625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004885112,"about_ca_topic_score_gemma":0.0004416405,"domain_scores_codex":[0.9998547,0.00003596803,0.000006659841,0.00003177493,0.0000493339,0.0000215211],"domain_scores_gemma":[0.9997527,0.0001150658,0.00005945738,0.00001074897,0.00004185872,0.00002023935],"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":[0.00006785198,0.00001372045,0.00103238,0.00001391151,0.000003431559,0.00001732797,0.00003480956,0.0001380612,0.9954744,0.00003296076,0.00001851131,0.003152551],"study_design_scores_gemma":[0.000007892878,0.0005008163,0.01742988,0.000003700171,0.00002675012,0.0001108192,0.00005007833,0.009651388,0.9716804,0.0001104592,0.0004144462,0.00001340701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881448,0.0005133782,0.01091416,0.00005787072,0.00001210073,0.000009017926,0.00002693817,0.00003627842,0.0002854349],"genre_scores_gemma":[0.9907624,0.0003487388,0.008535864,0.00005817524,0.00001981687,0.00001975057,0.00003292959,0.000005436667,0.0002167928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004885112,"threshold_uncertainty_score":0.001625597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008021384421334994,"score_gpt":0.2266153976634026,"score_spread":0.2185940132420676,"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."}}