{"id":"W4391886444","doi":"10.1093/biomethods/bpae009","title":"A methodological primer of extracellular vesicles isolation and characterization via different techniques","year":2024,"lang":"en","type":"article","venue":"Biology Methods and Protocols","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Universities Space Research Association","keywords":"Extracellular vesicles; Isolation (microbiology); Characterization (materials science); Primer (cosmetics); Vesicle; Chemistry; Biology; Nanotechnology; Biochemistry; Cell biology; Materials science; Bioinformatics; Organic chemistry","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":[0.001231997,0.0001592462,0.0002332066,0.00005652762,0.00004321763,0.00002352149,0.00008217452,0.0002785454,0.00001735144],"category_scores_gemma":[0.0001644909,0.0001200111,0.00005981686,0.0000587478,0.0002167564,0.000007206939,0.0001200309,0.00009285755,4.099096e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004479947,"about_ca_system_score_gemma":0.00002009257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002047346,"about_ca_topic_score_gemma":2.309141e-7,"domain_scores_codex":[0.998083,0.001038442,0.0002903082,0.0004065257,0.00004020051,0.0001415465],"domain_scores_gemma":[0.9994699,0.0001329897,0.00009469919,0.0002014197,0.0000375586,0.00006340536],"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":[0.00008761851,0.00003065099,0.002484905,0.0001301638,0.00002903715,9.810018e-7,0.00002214191,3.249053e-8,0.7573197,0.001271323,0.000005040311,0.2386184],"study_design_scores_gemma":[0.0001353325,0.0005212678,0.007457995,0.00005772261,0.00002864914,0.00001721549,0.000004884654,0.0003839995,0.9644123,0.005141607,0.02169067,0.0001483388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.290952,0.002726919,0.6989394,0.00007518028,0.00003563187,0.007181878,0.00001838493,0.00003435771,0.00003620425],"genre_scores_gemma":[0.4057259,0.0003736395,0.5799593,0.00007911116,0.0002545911,0.0132024,0.0001965786,0.00003850287,0.0001699644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.23847,"threshold_uncertainty_score":0.4893911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07993833077970179,"score_gpt":0.435639324230338,"score_spread":0.3557009934506362,"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."}}