{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058913,0.0001345055,0.0002635743,0.0001794328,0.000133663,0.00004302024,0.0001294547,0.0000754688,0.00006083923],"category_scores_gemma":[0.00003675109,0.0001030353,0.0001815818,0.0003246253,0.0007109968,0.000009490818,0.00006116934,0.0000303436,0.000002167008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009470605,"about_ca_system_score_gemma":0.0000491847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006277103,"about_ca_topic_score_gemma":0.00003574397,"domain_scores_codex":[0.9984004,0.0000642603,0.0004328243,0.0006790617,0.0002302307,0.0001931618],"domain_scores_gemma":[0.998705,0.00001104732,0.0002476752,0.000800681,0.0001098129,0.0001257517],"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":[0.00001375579,0.00007448873,0.01471511,0.000009944294,0.0002668584,0.00003462119,0.0001197467,0.00001084125,0.9836533,0.0001603342,0.0006261074,0.0003149086],"study_design_scores_gemma":[0.0001767765,0.0000538097,0.0147121,0.00001533372,0.0003532321,0.00001574896,0.00005691583,0.00002679168,0.9791492,0.001784222,0.003495909,0.0001599176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957044,0.002787088,0.0006262157,0.00003878213,0.0003210646,0.0001412062,0.00001696969,0.00001121335,0.000353128],"genre_scores_gemma":[0.9973667,0.00001271965,0.0001928704,0.000006608471,0.000031149,0.000008010684,0.00008756285,0.00001064955,0.002283751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004504043,"threshold_uncertainty_score":0.4201656,"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."}}