{"id":"W4408404015","doi":"10.1016/j.pacs.2025.100711","title":"Quantitative ultrasound and photoacoustic assessments of red blood cell aggregation in the human radial artery","year":2025,"lang":"en","type":"article","venue":"Photoacoustics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; 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 Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Toronto Metropolitan University","keywords":"Radial artery; Ultrasound; Photoacoustic imaging in biomedicine; Human blood; Medicine; Red blood cell; Artery; Radiology; Biomedical engineering; Materials science; Internal medicine; Optics; Physiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004226877,0.0002352524,0.000294189,0.0002412009,0.0001083453,0.00006142803,0.0002348149,0.00009840426,0.00002282429],"category_scores_gemma":[0.0001236255,0.0002136736,0.00005094063,0.0004631667,0.0001426305,0.00009843289,0.00002293301,0.0003419093,0.000001182534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000603604,"about_ca_system_score_gemma":0.00005576764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007413729,"about_ca_topic_score_gemma":0.00002008446,"domain_scores_codex":[0.9986605,0.00008005637,0.0004444768,0.0002379395,0.0002388369,0.0003382094],"domain_scores_gemma":[0.9986553,0.0008612163,0.00008229536,0.0003012245,0.00005698163,0.00004298981],"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":[0.00003145374,0.0003547899,0.00375894,0.0006637071,0.0001630771,0.00004984048,0.002701389,0.01416892,0.9754413,0.0008088896,0.001375569,0.0004820771],"study_design_scores_gemma":[0.00896557,0.0005638443,0.06386267,0.001278337,0.001835666,0.0001538498,0.02147815,0.7037856,0.1881343,0.007782792,0.0005411039,0.001618184],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563232,0.0008615776,0.02847745,0.000009804303,0.0004053228,0.000518773,0.00008861795,0.00008054688,0.01323472],"genre_scores_gemma":[0.9979444,0.0002667457,0.001458211,0.0000861239,0.00003070615,0.00005614646,0.00002600348,0.00002658644,0.0001050735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7873071,"threshold_uncertainty_score":0.8713358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165066914913316,"score_gpt":0.2648335961789273,"score_spread":0.2531829270297941,"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."}}