{"id":"W4306721407","doi":"10.32920/21290991.v1","title":"Photoacoustic ultrasound spectroscopy for assessing red blood cell aggregation and oxygenation","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Foundation","keywords":"Oxygenation; Chemistry; Hematocrit; Analytical Chemistry (journal); Blood oxygenation; Oxygen; Red blood cell; Ultrasound; Biophysics; Photoacoustic imaging in biomedicine; Spectroscopy; Nuclear magnetic resonance; Internal medicine; Chromatography; Optics; Medicine; Physics; Biochemistry; Biology; Acoustics","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":[0.0009394993,0.0003975533,0.0002822294,0.0005555665,0.0002502023,0.0004849332,0.000427818,0.0007020867,0.0007436617],"category_scores_gemma":[0.001215042,0.000274962,0.0003088073,0.0005101191,0.0004010574,0.0006618561,0.0003842661,0.0005451649,0.0003359815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000472685,"about_ca_system_score_gemma":0.0005823933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097979,"about_ca_topic_score_gemma":0.001320098,"domain_scores_codex":[0.9994854,0.0001384131,0.00002209854,0.00009172754,0.0002363065,0.00002618888],"domain_scores_gemma":[0.9994075,0.0002914295,0.0001102067,0.00004716015,0.0001152504,0.00002845623],"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":[0.00005251653,0.00005067941,0.002266855,0.0001468456,0.00001685288,0.00005865642,0.00006640181,0.002959073,0.964572,0.001544177,0.00034001,0.02792579],"study_design_scores_gemma":[0.00001274036,0.0003617344,0.009220241,0.00004147743,0.0000627339,0.0003940752,0.00007853787,0.1248652,0.857179,0.001399921,0.006320947,0.0000633719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2565041,0.007990683,0.7286083,0.0005711885,0.0001446146,0.0001645039,0.0002374819,0.0007779183,0.0050013],"genre_scores_gemma":[0.6978388,0.005254132,0.2935325,0.00030014,0.00007920997,0.0002177912,0.0002204465,0.00005812472,0.002498816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001097979,"threshold_uncertainty_score":0.004968643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009679209511246348,"score_gpt":0.2382935974770503,"score_spread":0.228614387965804,"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."}}