{"id":"W4390342993","doi":"10.1002/jex2.128","title":"Gestational age at birth influences protein and RNA content in human milk extracellular vesicles","year":2023,"lang":"en","type":"article","venue":"Journal of Extracellular Biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; IONICS Mass Spectrometry (Canada); Université de Sherbrooke; Agricultural Institute of Canada; Institute of Infection and Immunity; University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Canada Research Chairs; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Western Canada Research Grid","keywords":"Messenger RNA; RNA; Proteomics; Gestational age; Extracellular vesicles; Biology; Downregulation and upregulation; Extracellular; Immune system; Gene; Andrology; Cell biology; Immunology; Pregnancy; Genetics; Medicine","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":[0.0002740977,0.0001248392,0.0002354849,0.0002753587,0.0001364108,0.0006327616,0.00008523679,0.0002987384,0.001379646],"category_scores_gemma":[0.001098781,0.0001324177,0.0001743479,0.000214315,0.0001765535,0.00027658,0.0003160191,0.0002991908,0.0002898103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188235,"about_ca_system_score_gemma":0.0001330498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009956454,"about_ca_topic_score_gemma":0.0006116194,"domain_scores_codex":[0.9997458,0.00005468758,0.00002390988,0.00008181667,0.00003744197,0.00005635907],"domain_scores_gemma":[0.9997219,0.00011764,0.00007444059,0.00002135871,0.0000317665,0.00003276312],"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":[0.004356628,0.00007545356,0.1642895,0.0001854334,0.00008845644,0.000581694,0.0006493512,0.0001508055,0.8153996,0.0002355969,0.000304079,0.01368335],"study_design_scores_gemma":[0.00001265066,0.0006063626,0.8826135,0.00004328154,0.0000904431,0.0007737101,0.0006609472,0.0005788339,0.1119486,0.0002377349,0.002414461,0.00001936808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974393,0.001325024,0.0003114904,0.00003849305,0.00001438293,0.000006689764,0.0005131789,0.000006416872,0.0003449914],"genre_scores_gemma":[0.997462,0.0006729623,0.0003423977,0.00005715173,0.00000610043,0.00002619323,0.0006329467,0.00001279944,0.0007873724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001379646,"threshold_uncertainty_score":0.004615366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015658715818811,"score_gpt":0.2833600392343631,"score_spread":0.253203452076175,"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."}}