{"id":"W4230111758","doi":"10.32920/14636592","title":"Photoacoustic ultrasound spectroscopy for assessing red blood cell aggregation and oxygenation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"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; Analytical Chemistry (journal); Hematocrit; Blood oxygenation; Oxygen; Red blood cell; Spectroscopy; Ultrasound; Photoacoustic imaging in biomedicine; Spectral line; Biomedical engineering; Materials science; Biological system; Optics; Chromatography; Acoustics; Physics; Internal medicine; Medicine","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":[0.0008488581,0.0004333961,0.0003329364,0.0004927008,0.0002479805,0.0005811224,0.0003620547,0.0007492233,0.0009148533],"category_scores_gemma":[0.001183671,0.0002712428,0.0002608996,0.0005584229,0.0004829031,0.0006538691,0.0003494839,0.0004872479,0.0004565415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610894,"about_ca_system_score_gemma":0.0004468273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007747281,"about_ca_topic_score_gemma":0.0008644872,"domain_scores_codex":[0.9994907,0.0001414582,0.00001668272,0.00008466992,0.0002424847,0.00002391475],"domain_scores_gemma":[0.9994553,0.0003170254,0.00006614776,0.00005845068,0.00008427974,0.00001892757],"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":[0.00005847541,0.00006846737,0.002222849,0.000164044,0.00002072428,0.00006538376,0.00007888164,0.007097185,0.9479955,0.004123661,0.0004247279,0.03768022],"study_design_scores_gemma":[0.00001246857,0.0002373991,0.006362407,0.00003852356,0.00004065904,0.000378642,0.00006209888,0.1709628,0.8109556,0.003103343,0.007792415,0.00005367965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.155601,0.006439873,0.8307399,0.0004028607,0.0001315895,0.0001124173,0.000178318,0.0006535112,0.005740554],"genre_scores_gemma":[0.6170356,0.004749304,0.3744076,0.0001883287,0.00008547879,0.0001491567,0.0002182088,0.00008404168,0.003082278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009148533,"threshold_uncertainty_score":0.004489243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008976200651511432,"score_gpt":0.2306475210338876,"score_spread":0.2216713203823761,"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."}}