{"id":"W3184226986","doi":"10.3390/separations8080110","title":"Quantitative Capillary Electrophoresis for Analysis of Extracellular Vesicles (EVqCE)","year":2021,"lang":"en","type":"article","venue":"Separations","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Nucleic acid; Capillary electrophoresis; Extracellular vesicles; Microvesicles; Nanoparticle tracking analysis; Chemistry; Chromatography; Lysis; RNA; Extracellular; Sonication; Extracellular vesicle; Degradation (telecommunications); Gel electrophoresis; Electrophoresis; Vesicle; Biochemistry; Biology; microRNA; Cell biology; Gene","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":[0.003488486,0.001971216,0.00117495,0.003258961,0.0008256398,0.001385835,0.001158892,0.001695306,0.002765006],"category_scores_gemma":[0.004315456,0.0006224648,0.0008451403,0.001739233,0.0008743756,0.001009341,0.001115361,0.002104737,0.001658307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008835517,"about_ca_system_score_gemma":0.001076679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505178,"about_ca_topic_score_gemma":0.001690217,"domain_scores_codex":[0.9963018,0.0009142412,0.0002653295,0.001008708,0.00122707,0.0002828709],"domain_scores_gemma":[0.9974024,0.001219297,0.0002617418,0.0001918525,0.0008241763,0.0001004947],"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":[0.0001773629,0.000115967,0.0007873236,0.0007023579,0.0001010041,0.0001462358,0.0001973709,0.0005421752,0.9503112,0.003144835,0.001884558,0.04188943],"study_design_scores_gemma":[0.00002357383,0.0002365727,0.001942681,0.0001096698,0.00005444343,0.0005332173,0.00007038391,0.01522345,0.9637955,0.0009609996,0.01695299,0.00009653425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06928295,0.01272358,0.9001543,0.0005450827,0.000622662,0.0008573442,0.002684759,0.00774915,0.005380292],"genre_scores_gemma":[0.1461985,0.01039293,0.829427,0.0006106762,0.0001452202,0.003250598,0.003030689,0.0009424087,0.006001954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003488486,"threshold_uncertainty_score":0.01844907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230676082764519,"score_gpt":0.320355265869695,"score_spread":0.2972876575932431,"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."}}