{"id":"W3017381723","doi":"10.1096/fasebj.2020.34.s1.04645","title":"Proteome and MicroRNAs in Human Milk: Term‐Dependent Changes in Exosome Composition","year":2020,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Ottawa","funders":"","keywords":"Microvesicles; Exosome; Proteome; Biology; microRNA; RNA; Population; Messenger RNA; Cell biology; Bioinformatics; Medicine; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002226563,0.0002256757,0.0002078068,0.0002665264,0.0001547505,0.000432098,0.0001104174,0.0003507506,0.0009667676],"category_scores_gemma":[0.0004751117,0.0001425753,0.0002484806,0.0002374826,0.0002318791,0.0004807491,0.0003510547,0.0003316698,0.0002676514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583236,"about_ca_system_score_gemma":0.0001570204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002337738,"about_ca_topic_score_gemma":0.0002095771,"domain_scores_codex":[0.9998504,0.00002783382,0.00001507229,0.00004923564,0.00003291369,0.00002457826],"domain_scores_gemma":[0.999884,0.00002552546,0.00003593836,0.00001016971,0.00002218829,0.00002214111],"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":[0.0005616245,0.00001550717,0.004643265,0.00008662429,0.00002098052,0.0001690467,0.00009762996,0.00003169345,0.9878835,0.0001334534,0.0001136964,0.006242927],"study_design_scores_gemma":[0.00002461553,0.0005829313,0.2278724,0.00005547375,0.0001098114,0.001824548,0.0004180513,0.001327739,0.7564286,0.0006168772,0.01070608,0.00003287507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855237,0.009396782,0.0026605,0.000352009,0.00008616999,0.00002157593,0.0007798348,0.00004142478,0.001138018],"genre_scores_gemma":[0.9897822,0.003805509,0.002873162,0.0002328459,0.00003363834,0.00005507223,0.001030802,0.00002911744,0.00215771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009667676,"threshold_uncertainty_score":0.003234148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469695844641838,"score_gpt":0.2917227771424849,"score_spread":0.2570258186960665,"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."}}