{"id":"W3149710726","doi":"10.1126/scitranslmed.abb0322","title":"Increasing breast milk betaine modulates <i>Akkermansia</i> abundance in mammalian neonates and improves long-term metabolic health","year":2021,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Birth, Development, and Health","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; National Institutes of Health; Eli Lilly and Company; Horizon 2020 Framework Programme; Institute of Genetics; Medical Council of Canada; H2020 European Research Council; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Ajinomoto Pharmaceuticals","keywords":"Betaine; Offspring; Lactation; Breast milk; Physiology; Breast feeding; Endocrinology; Biology; Internal medicine; Chemistry; Medicine; Pregnancy; Biochemistry; Pediatrics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001637588,0.0003258829,0.0002993474,0.0002494213,0.0001506629,0.0004311987,0.0002478035,0.0003726597,0.002669807],"category_scores_gemma":[0.0001923778,0.0001541242,0.000238566,0.0001194721,0.0004240129,0.000319764,0.0003050344,0.001033025,0.0003704088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286019,"about_ca_system_score_gemma":0.0002306798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000480234,"about_ca_topic_score_gemma":0.001135782,"domain_scores_codex":[0.9998429,0.00002959258,0.00001333541,0.00005088602,0.00002611533,0.0000372152],"domain_scores_gemma":[0.9997602,0.00002136493,0.00009287009,0.00002573467,0.00002262428,0.00007717955],"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":[0.0009290525,0.00005758914,0.0008813167,0.00005516754,0.00001082007,0.00003790225,0.00003263405,0.0000168768,0.9946054,0.00004852438,0.00005461079,0.00327014],"study_design_scores_gemma":[0.00005255645,0.001338248,0.02901479,0.00003014881,0.00004895241,0.00020682,0.0001582986,0.0002242585,0.9652205,0.0000914671,0.003603116,0.00001082798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946135,0.002158593,0.001158703,0.0002292596,0.00006008221,0.00001691793,0.0004219367,0.0001022172,0.001238757],"genre_scores_gemma":[0.9883226,0.002002147,0.001879747,0.0002870851,0.00003511717,0.0001087285,0.0005795313,0.00008694798,0.006698142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002669807,"threshold_uncertainty_score":0.008931398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996801527024138,"score_gpt":0.3091095923002857,"score_spread":0.2891415770300443,"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."}}