{"id":"W3158910500","doi":"10.3390/pathogens10050526","title":"Velocity Gradient Separation Reveals a New Extracellular Vesicle Population Enriched in miR-155 and Mitochondrial DNA","year":2021,"lang":"en","type":"article","venue":"Pathogens","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal; Université Laval; Université de Montréal; McGill University Health Centre; Centre Hospitalier de l’Université de Montréal; Wilfrid Laurier University","funders":"","keywords":"Microvesicles; Population; Western blot; Biology; Density gradient; Differential centrifugation; Extracellular; Cell biology; Molecular biology; Chemistry; Virology; microRNA; Biochemistry; Gene; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001695525,0.0001687932,0.0001688024,0.0000430946,0.00006875635,0.00004007437,0.00008962017,0.0001732342,0.00002950725],"category_scores_gemma":[0.0002573892,0.0001963955,0.00008369081,0.000162685,0.00003092969,0.00001026342,0.00009076403,0.0000891024,0.000009880359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004442197,"about_ca_system_score_gemma":0.00008306412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000269481,"about_ca_topic_score_gemma":0.0001437916,"domain_scores_codex":[0.9985753,0.0001784201,0.0003119012,0.0005154349,0.000156855,0.0002620815],"domain_scores_gemma":[0.9992741,0.0000156756,0.00009365446,0.0003817312,0.00005801038,0.0001768635],"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":[0.00006598266,0.0001053755,0.01704944,0.0000203802,0.0000163329,0.00007977505,0.0001356733,0.0000459999,0.9798653,0.0003549985,0.000450008,0.001810796],"study_design_scores_gemma":[0.003263188,0.0002232519,0.341392,0.00005319799,0.000123294,0.0001374579,0.0002349099,0.001316032,0.6391992,0.006941711,0.006241171,0.0008745441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911491,0.004957082,0.003139262,0.0001133979,0.0002036917,0.000249278,0.00002685609,0.00001540538,0.0001458893],"genre_scores_gemma":[0.9929904,0.00009682353,0.005033862,0.00008967082,0.0003288494,0.00001924252,0.0005337737,0.00002573976,0.0008816266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.340666,"threshold_uncertainty_score":0.8008777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149100576912078,"score_gpt":0.2620348484312439,"score_spread":0.2505438426621231,"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."}}