{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001184741,0.000111131,0.0001952651,0.00009550691,0.00009701901,0.00001718823,0.0001177059,0.00008764594,0.00005814365],"category_scores_gemma":[0.0002282081,0.0001239996,0.0003131569,0.0004976908,0.00007772419,0.000004750783,0.00003741168,0.00003714161,0.000004567546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001130228,"about_ca_system_score_gemma":0.0001852302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006525719,"about_ca_topic_score_gemma":0.0001461586,"domain_scores_codex":[0.9990559,0.00008007359,0.0002684541,0.0003124336,0.0001097456,0.0001733982],"domain_scores_gemma":[0.999037,0.00005434189,0.0001072601,0.0004267348,0.0003080288,0.00006660597],"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":[0.00006873594,0.0001370342,0.0005304147,0.00001542285,0.0009809469,0.0000044772,0.00007570723,0.001708297,0.9874513,0.0067877,0.002125296,0.0001146402],"study_design_scores_gemma":[0.0002404726,0.0001578414,0.002177918,0.000003764681,0.0009919071,0.000001942247,0.0002007659,0.003274569,0.9825332,0.0005428497,0.00971462,0.0001601748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348121,0.0138042,0.05039331,0.0001206717,0.00004490716,0.00017237,0.0002137468,0.000009352994,0.000429357],"genre_scores_gemma":[0.9837975,0.0002917302,0.01258463,0.00005816932,0.00004793639,0.00004690858,0.001582882,0.00001829834,0.001571941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04898542,"threshold_uncertainty_score":0.5056559,"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."}}