{"id":"W3098279598","doi":"10.1101/796961","title":"Fluorescence and light scatter calibration allow comparisons of small particle data in standard units across different flow cytometry platforms and detector settings","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Cancer Institute; National Institutes of Health; University of Ottawa","keywords":"Calibration; Standardization; Detector; Computer science; Fluorescence; Remote sensing; Materials science; Biological system; Optics; Physics; Statistics; Geography; Mathematics; 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":[0.01320941,0.003085145,0.00174309,0.005872199,0.001836282,0.004136264,0.003342316,0.00295947,0.01331906],"category_scores_gemma":[0.02003041,0.00138951,0.001756956,0.004341207,0.002097489,0.002467875,0.004173993,0.004166019,0.007619801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156556,"about_ca_system_score_gemma":0.002266044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138003,"about_ca_topic_score_gemma":0.001700906,"domain_scores_codex":[0.9696695,0.005770092,0.002732892,0.006655028,0.01409086,0.001081644],"domain_scores_gemma":[0.9854101,0.004088684,0.002238563,0.00280309,0.005156985,0.0003026864],"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":[0.001625315,0.0009702402,0.01660363,0.002058146,0.0004202164,0.0003186039,0.001069033,0.004115946,0.7940541,0.01325243,0.02036886,0.1451436],"study_design_scores_gemma":[0.00007426994,0.000450146,0.008199019,0.0002947707,0.0001712592,0.0003311956,0.0002235792,0.01174288,0.9360558,0.003631836,0.03864434,0.0001808253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1072288,0.004001167,0.8311663,0.001114684,0.002451238,0.001886824,0.008263245,0.01978,0.0241078],"genre_scores_gemma":[0.2937364,0.003388311,0.6635416,0.001889211,0.0004223984,0.007997219,0.01077419,0.005783864,0.01246681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01331906,"threshold_uncertainty_score":0.06985891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877791237072255,"score_gpt":0.2427606726042199,"score_spread":0.2239827602334973,"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."}}