{"id":"W3029489073","doi":"10.1080/20013078.2020.1764213","title":"Y‐RNA subtype ratios in plasma extracellular vesicles are cell type‐ specific and are candidate biomarkers for inflammatory diseases","year":2020,"lang":"en","type":"article","venue":"Journal of Extracellular Vesicles","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trombosestichting Nederland; ReumaNederland; China Scholarship Council; Universiteit van Amsterdam; ZonMw; European Commission; Arthritis Society; FP7 Ideas: European Research Council; Nederlandse Vereniging voor Trombose en Hemostase; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Dutch Arthritis Society","keywords":"RNA; microRNA; Microvesicles; Small RNA; Immune system; Non-coding RNA; Cell; Extracellular vesicle; Extracellular; Biology; Ribonucleoprotein; Messenger RNA; Inflammation; Gene expression; Molecular biology; Cell biology; Gene; Biochemistry; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004706023,0.000370769,0.000363061,0.0009206921,0.0001667421,0.0006063484,0.0001734603,0.000488841,0.001072864],"category_scores_gemma":[0.0006230234,0.0001727698,0.0003780014,0.0005235928,0.0002456551,0.0003536951,0.000308513,0.0004669144,0.0003990426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367183,"about_ca_system_score_gemma":0.00009133195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002288045,"about_ca_topic_score_gemma":0.0002132825,"domain_scores_codex":[0.9995344,0.0001066964,0.00005083027,0.0001506949,0.00009292688,0.00006447215],"domain_scores_gemma":[0.9995884,0.0001006103,0.0001852318,0.00003730674,0.00005364936,0.000034922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001731885,0.00004780498,0.09409898,0.0002589222,0.0001975446,0.0002646628,0.0001217989,0.0001464607,0.8852523,0.0001723899,0.0001766845,0.01753058],"study_design_scores_gemma":[0.00004102377,0.0009203403,0.5745094,0.00006067982,0.0003361186,0.00270028,0.0004127073,0.002180602,0.4142252,0.000662653,0.003915132,0.00003589665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753597,0.01227481,0.009254735,0.0000847808,0.00005345223,0.00006266362,0.001273311,0.0001573528,0.001479127],"genre_scores_gemma":[0.9897202,0.002507295,0.005322992,0.0001149355,0.00005469862,0.0001141336,0.001042453,0.00003673181,0.001086475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072864,"threshold_uncertainty_score":0.003589034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401411647435549,"score_gpt":0.2290287728063761,"score_spread":0.2150146563320206,"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."}}