{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00121675,0.0002997952,0.0004209321,0.0003362141,0.000147543,0.00003990518,0.0004051016,0.0003237528,0.00007148915],"category_scores_gemma":[0.0003389467,0.0002741246,0.0001928769,0.0002359966,0.0004711402,0.00001867802,0.0002409788,0.000300442,0.00002019069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004988083,"about_ca_system_score_gemma":0.0001303294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002304576,"about_ca_topic_score_gemma":0.00007371545,"domain_scores_codex":[0.9974115,0.0003609767,0.001010604,0.0004618542,0.0002561921,0.0004988151],"domain_scores_gemma":[0.9986046,0.00006948024,0.0005899269,0.0003276955,0.0001628999,0.0002454306],"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":[0.0002252525,0.000136836,0.02244743,0.00007978364,0.00007376831,0.0007001376,0.0001086127,0.0001210722,0.973927,0.001007375,0.0003686695,0.0008040898],"study_design_scores_gemma":[0.0036183,0.001502216,0.04850363,0.0003396658,0.00006233284,0.0003743243,0.0004529642,0.000131846,0.921452,0.004459118,0.01837072,0.0007328499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770479,0.02172215,0.000274245,0.0002852115,0.0001523486,0.0003715139,0.00002886165,0.00001720115,0.000100556],"genre_scores_gemma":[0.9952373,0.0006461941,0.0009788033,0.00006234922,0.0002712808,0.00002517002,0.0001186602,0.00004341251,0.002616857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05247495,"threshold_uncertainty_score":0.9999711,"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."}}