{"id":"W3134363260","doi":"10.1002/jev2.12071","title":"Human milk extracellular vesicles target nodes in interconnected signalling pathways that enhance oral epithelial barrier function and dampen immune responses","year":2021,"lang":"en","type":"article","venue":"Journal of Extracellular Vesicles","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"H2020 Marie Skłodowska-Curie Actions; H2020 Future and Emerging Technologies; H2020 European Research Council; Stichting voor de Technische Wetenschappen; Horizon 2020 Framework Programme","keywords":"Cell biology; Immune system; Microvesicles; Cell signaling; Biology; Population; Extracellular vesicle; Chemistry; Signal transduction; Immunology; Biochemistry; microRNA; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001508863,0.0002733117,0.0003164269,0.0001611025,0.0001509566,0.0004434832,0.0001436201,0.000444645,0.001754563],"category_scores_gemma":[0.0001783638,0.0001072386,0.000314515,0.00008643434,0.0001606918,0.0003823662,0.0005550544,0.0003615161,0.000351966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253953,"about_ca_system_score_gemma":0.0001489532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143257,"about_ca_topic_score_gemma":0.0002213058,"domain_scores_codex":[0.9998546,0.00004054718,0.000006406153,0.0000209961,0.00002881174,0.00004857348],"domain_scores_gemma":[0.9999642,0.000007670035,0.00001058467,0.000002763015,0.000005482756,0.000009188485],"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":[0.0006251769,0.00003383181,0.0006842461,0.0002248765,0.0000214529,0.000167847,0.00004288746,0.0001316893,0.9881861,0.0004105459,0.0002312554,0.009240094],"study_design_scores_gemma":[0.00008569524,0.0009728044,0.01326943,0.00007935445,0.00006628485,0.0008521446,0.000233511,0.001147097,0.9686331,0.0005995117,0.01404818,0.00001279612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654284,0.02646871,0.004439642,0.0005006978,0.0001280234,0.000064853,0.0002941926,0.00007567635,0.00259998],"genre_scores_gemma":[0.9886581,0.006328989,0.002613495,0.0001770023,0.00002847565,0.00004395334,0.0001969788,0.00001541748,0.001937526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001754563,"threshold_uncertainty_score":0.005869567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299215244629632,"score_gpt":0.2827929911136692,"score_spread":0.2498008386673729,"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."}}