{"id":"W2418253181","doi":"10.1038/srep27680","title":"Comparative transcriptomic analysis of human and Drosophila extracellular vesicles","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Children's Hospital; Université de Montréal; Montreal Clinical Research Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Cancer Research Society; McGill University","keywords":"Biology; Schneider 2 cells; RNA; Cell biology; Transcriptome; Microvesicles; microRNA; Pseudogene; Drosophila (subgenus); Drosophila melanogaster; Non-coding RNA; Computational biology; Genetics; Gene; RNA interference; Genome; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251193,0.0001825975,0.0002103756,0.0008659241,0.0002212746,0.0003699633,0.00008630603,0.0002434567,0.001066937],"category_scores_gemma":[0.0002377144,0.00009291129,0.0003165971,0.0004275699,0.0001258107,0.0001050008,0.0002318533,0.000164894,0.0003785276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746211,"about_ca_system_score_gemma":0.0001521843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006713863,"about_ca_topic_score_gemma":0.0009572624,"domain_scores_codex":[0.9998381,0.00001003109,0.00001195741,0.00007875063,0.00002963333,0.00003147014],"domain_scores_gemma":[0.9999036,0.00002764398,0.00002668549,0.000006854474,0.00002309091,0.00001210342],"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":[0.0003434218,0.00001233396,0.01112317,0.0001880118,0.00004807361,0.0003864822,0.0001742008,0.0001680499,0.9752838,0.0002402991,0.000273244,0.01175895],"study_design_scores_gemma":[0.00003335911,0.0004787259,0.5399466,0.000105618,0.0003358369,0.005075688,0.0008762948,0.003540461,0.4182289,0.0004689028,0.03085825,0.00005144276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732871,0.004122642,0.003695562,0.00008779843,0.00003178784,0.00004493998,0.01638379,0.00006382533,0.002282419],"genre_scores_gemma":[0.9646975,0.002353535,0.008682446,0.0001749829,0.00002307474,0.0001261432,0.02060926,0.00004700851,0.003285976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066937,"threshold_uncertainty_score":0.003569186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738273223097406,"score_gpt":0.2750132012586055,"score_spread":0.2576304690276314,"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."}}