{"id":"W2807079061","doi":"10.1371/journal.pone.0197713","title":"The impact of human breast milk components on the infant metabolism","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme; Instituto de Salud Carlos III; European Research Council; Sixth Framework Programme; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Fondazione Celiachia; Komitet Badań Naukowych; Azrieli Foundation; Hungarian Scientific Research Fund; Eurospital; Thermo Fisher Scientific","keywords":"Breast milk; Breastfeeding; Polyunsaturated fatty acid; Infant formula; Breast feeding; Lactation; Hormone; Endocrinology; Food science; Medicine; Internal medicine; Physiology; Fatty acid; Chemistry; Biology; Biochemistry; Pregnancy; Pediatrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221638,0.0001001911,0.0001945349,0.0000482606,0.0005814003,0.00003093903,0.0002143169,0.0000431357,0.0002239719],"category_scores_gemma":[0.00003451095,0.00005116815,0.00009031189,0.0001136898,0.0001957161,0.00004003979,0.00002605598,0.0001787391,0.0001374561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004277473,"about_ca_system_score_gemma":0.00001401937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006891467,"about_ca_topic_score_gemma":0.00004809215,"domain_scores_codex":[0.998956,0.0001429547,0.0002257079,0.0001102549,0.0003121867,0.0002528543],"domain_scores_gemma":[0.9991484,0.0001358205,0.0001284193,0.0003792477,0.000146687,0.0000614129],"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":[0.002726478,0.006984842,0.01637074,0.0001446607,0.0008830884,0.00000209892,0.006227731,7.635891e-7,0.902889,0.02419874,0.03812163,0.001450275],"study_design_scores_gemma":[0.001782384,0.00110385,0.8405516,0.0005317921,0.0001467514,0.000008743062,0.0001867505,0.0004959423,0.1499949,0.003207821,0.00175479,0.0002346866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988652,0.00009002007,4.117693e-7,0.005390128,0.00009931014,0.0003191768,0.00006706987,0.00003374293,0.005348147],"genre_scores_gemma":[0.9986737,0.00002478021,0.00003161891,0.000724089,0.000428969,0.000009990442,0.00001086099,0.00001549719,0.00008047521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8241809,"threshold_uncertainty_score":0.447172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07525288069258856,"score_gpt":0.3181582095600528,"score_spread":0.2429053288674642,"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."}}