{"id":"W2292362470","doi":"10.1109/jstqe.2015.2494532","title":"Frequency-Domain Photoacoustic Phase Spectroscopy: A Fluence-Independent Approach for Quantitative Probing of Hemoglobin Oxygen Saturation","year":2015,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Quantum Electronics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photoacoustic spectroscopy; Hemoglobin; Attenuation coefficient; Chromophore; Fluence; Materials science; Oxygen saturation; Optics; Saturation (graph theory); Absorption (acoustics); Analytical Chemistry (journal); Photoacoustic imaging in biomedicine; Biomedical engineering; Biological system; Nuclear magnetic resonance; Computer science; Chemistry; Oxygen; Physics; Mathematics; Chromatography; Laser; Photochemistry","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":[0.0003156273,0.0004535896,0.0002827791,0.0003712024,0.0001619071,0.0003706308,0.0007697802,0.0006554773,0.001068362],"category_scores_gemma":[0.0006810815,0.0002401762,0.0002794586,0.0003055924,0.000681841,0.0008856484,0.0004920934,0.0006521104,0.0005763549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489527,"about_ca_system_score_gemma":0.0003431794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002636412,"about_ca_topic_score_gemma":0.0002762896,"domain_scores_codex":[0.9998215,0.00003762131,0.000005474309,0.00005292347,0.00007065017,0.00001189493],"domain_scores_gemma":[0.9997527,0.0001216154,0.00003512676,0.00004603418,0.00003543077,0.000009063588],"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":[0.00007372939,0.00004768719,0.0003950187,0.0002199997,0.00002050246,0.0001632386,0.00007479053,0.00868972,0.8681815,0.02729313,0.0008061893,0.09403459],"study_design_scores_gemma":[0.00002971981,0.0002787747,0.00178699,0.00003544767,0.00004076323,0.002408241,0.00005060574,0.3514272,0.6062899,0.01485847,0.02271393,0.00007992972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01173828,0.0007833751,0.9850157,0.0001965895,0.00008075425,0.00004023077,0.00004443346,0.0002798202,0.00182077],"genre_scores_gemma":[0.2294855,0.002701224,0.7644477,0.0002891871,0.0001197104,0.0001574383,0.00009363492,0.00008802582,0.002617525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001068362,"threshold_uncertainty_score":0.003574014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121448905455827,"score_gpt":0.2766392360362576,"score_spread":0.2554247469816993,"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."}}