{"id":"W4410922795","doi":"10.1101/2025.05.30.656911","title":"Investigating milk-derived extracellular vesicles as mediators of maternal stress and environmental intervention","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"National Institute of Mental Health; Center for Undergraduate Research and Scholarship, Bowling Green State University; Massachusetts Life Sciences Center","keywords":"Offspring; Environmental enrichment; Hippocampal formation; Breastfeeding; Hippocampus; Lactation; Biology; Pregnancy; microRNA; Psychological intervention; Physiology; Psychology; Neuroscience; Medicine; Genetics; Gene; Psychiatry; Pediatrics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004395956,0.0004105018,0.0005877088,0.0002040792,0.0001242541,0.00004042136,0.0003491795,0.0005729826,0.0001115067],"category_scores_gemma":[0.0001391675,0.0004282597,0.0001484356,0.00009710879,0.0004172128,0.0001037444,0.0005704126,0.0005102152,0.00003355222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000769338,"about_ca_system_score_gemma":0.0001309246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001750222,"about_ca_topic_score_gemma":0.000002042718,"domain_scores_codex":[0.9976355,0.0004270059,0.000695111,0.0008357856,0.00008944974,0.0003171164],"domain_scores_gemma":[0.998413,0.00006414542,0.0006699248,0.0007182827,0.00007624232,0.00005836532],"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":[0.00001548689,0.00008788827,0.1330048,0.00105809,0.0003301238,0.000007592348,0.0000635004,0.000005347256,0.8651838,0.0002101179,0.00001886128,0.00001437368],"study_design_scores_gemma":[0.0005215645,0.00004803954,0.2095696,0.002032588,0.0001109094,6.403596e-8,0.00003418745,0.000002935422,0.7872468,0.000007951756,0.0001535891,0.0002718282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487215,0.04839119,0.000133437,0.00003136275,0.001499621,0.0005257006,0.0006037741,0.00008633419,0.000007030628],"genre_scores_gemma":[0.9989594,0.0003993447,0.0003691879,0.00001229647,0.00008580076,0.00008302257,0.000004093131,0.00003723436,0.0000495873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07793702,"threshold_uncertainty_score":0.9998169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008873592965616298,"score_gpt":0.2078585164388496,"score_spread":0.1989849234732333,"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."}}