{"id":"W2773116887","doi":"10.1038/s41598-017-18227-8","title":"Single-Particle Discrimination of Retroviruses from Extracellular Vesicles by Nanoscale Flow Cytometry","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Flow cytometry; Extracellular vesicles; Cytometry; Microvesicles; Glycoprotein; Biology; Nanoparticle tracking analysis; Viral envelope; Cell biology; Phenotype; Retrovirus; Chemistry; Virology; Molecular biology; Virus; Genetics; Gene; microRNA","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":[0.0008919482,0.0003280134,0.0003862865,0.000603412,0.0002714286,0.0007308014,0.0003102272,0.000522899,0.0006264079],"category_scores_gemma":[0.001276057,0.0001488823,0.0002295093,0.0001896894,0.0004094437,0.0005133465,0.0003447035,0.0005478499,0.0003058495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004881446,"about_ca_system_score_gemma":0.0002681618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003751844,"about_ca_topic_score_gemma":0.0006560204,"domain_scores_codex":[0.9994981,0.0001084963,0.00004986823,0.0001384288,0.0001614735,0.00004354266],"domain_scores_gemma":[0.9994045,0.0003148842,0.000100551,0.00004644906,0.0001005483,0.00003298798],"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":[0.00003207871,0.00001391263,0.0002628632,0.00002422415,0.000002581854,0.000008721433,0.00001482109,0.0001559757,0.9967769,0.0001946286,0.00003889989,0.002474441],"study_design_scores_gemma":[0.000006369466,0.00005213305,0.0009722632,0.000008304974,0.000005913775,0.00006770584,0.00001492086,0.005518902,0.9919777,0.0002452074,0.00111954,0.00001106624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440536,0.001632377,0.1508007,0.0002187068,0.00008089215,0.0002333166,0.0005644633,0.0004647907,0.001951252],"genre_scores_gemma":[0.8337375,0.001362738,0.1621663,0.0001974756,0.00002936988,0.0004073366,0.0007016876,0.0001356283,0.001261966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008919482,"threshold_uncertainty_score":0.004717171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741896855379213,"score_gpt":0.259194192104351,"score_spread":0.2417752235505588,"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."}}