{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003192138,0.0003528093,0.0003414846,0.000182648,0.0002099551,0.0003084948,0.0001801106,0.0001750279,0.0002825489],"category_scores_gemma":[0.0001100871,0.000403983,0.00009717795,0.0001142432,0.0000310678,0.0001617097,0.0001005471,0.0005858346,0.000001210859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460946,"about_ca_system_score_gemma":0.00009541773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003260154,"about_ca_topic_score_gemma":0.000004202158,"domain_scores_codex":[0.998504,0.00002845152,0.0003579523,0.0004823691,0.0002470534,0.0003801969],"domain_scores_gemma":[0.9990552,0.0003773671,0.0001171824,0.0003109264,0.00005730664,0.00008201534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000144758,0.00009576037,0.0004154979,0.002270289,0.0001865246,0.000009413828,0.000597635,0.1585949,0.8337679,0.00008437622,0.002892914,0.001070332],"study_design_scores_gemma":[0.00129665,0.00004334132,0.001080032,0.0001802358,0.0007005023,0.00004993075,0.0008736572,0.7436355,0.2466107,0.003747443,0.0007699548,0.001012058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.366796,0.001526138,0.6092141,0.00003804181,0.001685863,0.001295214,0.0001983896,0.0008402053,0.018406],"genre_scores_gemma":[0.955673,0.0004341494,0.04239186,0.00004933445,0.0002024407,0.0003023114,0.0004236152,0.0001075368,0.0004157326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.588877,"threshold_uncertainty_score":0.9998412,"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."}}