{"id":"W2920872061","doi":"10.1111/1541-4337.12424","title":"Milk MicroRNAs in Health and Disease","year":2019,"lang":"en","type":"article","venue":"Comprehensive Reviews in Food Science and Food Safety","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec","keywords":"microRNA; Breastfeeding; Biology; Disease; Computational biology; Biotechnology; Medicine; Gene; Genetics; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005489444,0.0001509324,0.0002817262,0.0001156303,0.00007784438,0.00002573724,0.0001780707,0.00004393937,0.000004131592],"category_scores_gemma":[0.0001905112,0.000136384,0.00003950564,0.0003572087,0.0002653403,0.00001718511,0.0002220981,0.00008095981,0.000006178768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004982801,"about_ca_system_score_gemma":0.0003481061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000431517,"about_ca_topic_score_gemma":0.00002652473,"domain_scores_codex":[0.9985048,0.0001274904,0.0003772329,0.0005508526,0.0001457855,0.0002938066],"domain_scores_gemma":[0.9991216,0.0000147624,0.0001183897,0.0003591763,0.00008368585,0.0003024082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005373124,0.0003257772,0.1149544,0.003351,0.00003799196,0.000005258547,0.0008438472,0.0001212059,0.7492272,0.003118099,0.001262481,0.1262154],"study_design_scores_gemma":[0.002576584,0.001730904,0.4232626,0.001388426,0.000009994993,0.00002887774,0.0003352361,0.0003765637,0.003851707,0.0009534296,0.5647237,0.0007620053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8365514,0.1620138,0.00003668228,0.0004213917,0.00007294292,0.0007777881,0.00001365813,0.000003317785,0.0001089515],"genre_scores_gemma":[0.9751185,0.02334468,0.0002619656,0.001190952,0.00002371174,0.00001641297,0.00001901456,0.000008219557,0.00001651886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7453755,"threshold_uncertainty_score":0.5561576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793919190260648,"score_gpt":0.2929052740113856,"score_spread":0.2649660821087791,"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."}}