{"id":"W3199156589","doi":"10.3390/cells10092455","title":"Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry","year":2021,"lang":"en","type":"article","venue":"Cells","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; World Anti-Doping Agency","keywords":"Cytometry; Throughput; Computer science; Flow cytometry; Volume (thermodynamics); Holography; Cell counting; Holographic data storage; Biomedical engineering; Cell; Computer hardware; Biology; Computer data storage; Medicine; Molecular biology; Physics; Optics; Cell cycle","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009481281,0.0002306217,0.0005355674,0.0004250837,0.00008200618,0.00006834076,0.0002142924,0.00009339157,0.0004477789],"category_scores_gemma":[0.000001962797,0.00024027,0.0006466935,0.003052258,0.0001646696,0.0001499284,0.00005708764,0.0001476245,0.00001013054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009176666,"about_ca_system_score_gemma":0.00005202263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001007909,"about_ca_topic_score_gemma":0.000002865845,"domain_scores_codex":[0.9985521,0.00006805566,0.0003784984,0.0004664276,0.0001625277,0.0003723428],"domain_scores_gemma":[0.9989102,0.00008077605,0.0002437337,0.0005297216,0.0001367881,0.00009876592],"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":[0.000009655133,0.001046929,0.01382675,0.00002429762,0.0010151,0.00001575401,0.0001177689,0.0003188038,0.9830368,0.0001647859,0.0001692498,0.000254143],"study_design_scores_gemma":[0.0005195576,0.00007003044,0.001335989,0.00001683582,0.001699608,5.721434e-7,0.000339985,0.0000235509,0.9948571,0.0003218754,0.0005703571,0.0002445594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799303,0.0002646623,0.002814775,0.000005787089,0.0003087872,0.00009908855,0.0003825853,0.00002831603,0.01616571],"genre_scores_gemma":[0.9951419,0.00001524735,0.004066276,0.00003989725,0.00006472177,0.000002867997,0.0001833671,0.00002542208,0.0004603281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570538,"threshold_uncertainty_score":0.9797928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179342703223901,"score_gpt":0.2323672924649149,"score_spread":0.2205738654326759,"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."}}