{"id":"W4307240541","doi":"10.32920/21291006.v1","title":"Determination of cell nucleus-to-cytoplasmic ratio using imaging flow cytometry and a combined ultrasound and photoacoustic technique: a comparison study","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Foundation","keywords":"Nucleus; Photoacoustic imaging in biomedicine; Cytoplasm; Ultrasound; Flow cytometry; Cell; Fluorescence; Materials science; Cytometry; Chemistry; Optics; Physics; Molecular biology; Biology","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":[0.002579548,0.0008980797,0.0008489256,0.003335147,0.000427863,0.0008537776,0.0007532993,0.001152147,0.001377761],"category_scores_gemma":[0.001604986,0.0003328124,0.0006297706,0.001443717,0.0006878213,0.001347339,0.0005408502,0.0005124063,0.0005596736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000715366,"about_ca_system_score_gemma":0.00043242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450971,"about_ca_topic_score_gemma":0.001074953,"domain_scores_codex":[0.9983944,0.0003076271,0.0001285267,0.0004468424,0.0006001579,0.0001222761],"domain_scores_gemma":[0.9985649,0.0005100627,0.0001400207,0.0001130676,0.0005911097,0.00008090788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002767612,0.0001236541,0.001580595,0.0002608393,0.00004117637,0.00007497606,0.0001338182,0.0001971908,0.976562,0.0002967601,0.00009766019,0.02035456],"study_design_scores_gemma":[0.00006453275,0.002461451,0.02705749,0.00004816347,0.0002945288,0.001718752,0.0002889792,0.01475664,0.9455365,0.0003551645,0.007276238,0.0001414834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8239852,0.02055312,0.1457637,0.0003170226,0.0003196854,0.0006180961,0.0005474054,0.0004494685,0.007446137],"genre_scores_gemma":[0.792122,0.01133671,0.1882542,0.000267535,0.0003224808,0.0009851184,0.0008517266,0.0001362213,0.005723937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003335147,"threshold_uncertainty_score":0.01364213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195139305391373,"score_gpt":0.2598379875135986,"score_spread":0.2478865944596849,"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."}}