{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005609908,0.0004779804,0.0006070761,0.0001988769,0.0001536911,0.000142198,0.0005408213,0.0002860279,0.00003870315],"category_scores_gemma":[0.0004401791,0.0004778376,0.0003215379,0.0002793381,0.0002633839,0.00007184855,0.0001468342,0.0003231382,0.00001267279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005486012,"about_ca_system_score_gemma":0.0002513765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003045569,"about_ca_topic_score_gemma":0.00001534735,"domain_scores_codex":[0.9969925,0.0002415093,0.001162387,0.0006400109,0.0004165737,0.0005470741],"domain_scores_gemma":[0.9972419,0.0001189742,0.001244977,0.0004478281,0.0003083292,0.0006379791],"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":[0.001945401,0.000286871,0.0394397,0.0003249806,0.0001430891,0.0005742298,0.0001966383,0.0003894306,0.9497594,0.00006710354,0.005104559,0.001768618],"study_design_scores_gemma":[0.005394521,0.0009465094,0.01949568,0.0002681703,0.0002647838,0.00009975136,0.001884644,0.001248673,0.9154635,0.0003541607,0.05357527,0.001004298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112777,0.08572991,0.001398445,0.0006510898,0.0002692149,0.0005231084,0.00009806215,0.00001979988,0.00003267302],"genre_scores_gemma":[0.9940365,0.002207262,0.002451533,0.0001464437,0.0007993566,0.0000150297,0.0000637433,0.0001131866,0.000166969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08352266,"threshold_uncertainty_score":0.9997673,"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."}}