{"id":"W4416701865","doi":"10.1016/j.chom.2025.11.002","title":"Environmental and maternal imprints on infant gut metabolic development","year":2025,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Centre for Global Health Research; Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of General Medical Sciences; University of California, San Diego; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Bill and Melinda Gates Foundation","keywords":"Metabolome; Feces; Microbiome; Gut flora; FGF19; Gut microbiome; Immune system","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":[],"consensus_categories":[],"category_scores_codex":[0.00007197352,0.0001481407,0.0001241655,0.00004604245,0.0001158592,0.00002226954,0.0001147147,0.0001017673,0.00005914806],"category_scores_gemma":[0.000001843072,0.0001399237,0.00003409854,0.00002268453,0.00004926092,0.000001565447,0.0001983911,0.0000828701,0.0001019527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002039923,"about_ca_system_score_gemma":0.00007519201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001912981,"about_ca_topic_score_gemma":0.00001254254,"domain_scores_codex":[0.9992303,0.00002070217,0.0001663437,0.0003093873,0.00003901951,0.0002342553],"domain_scores_gemma":[0.9996875,0.000002912101,0.00004172192,0.0001964559,0.000006489051,0.00006491577],"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":[0.00003236615,0.00006138688,0.01085396,0.00002925027,0.0000225457,0.000001923116,0.000061261,3.563276e-7,0.9851758,0.00001804485,0.001166467,0.002576626],"study_design_scores_gemma":[0.0003111821,0.00002652856,0.1928439,0.000009606715,0.000006595789,0.000005221205,0.00001585606,2.790578e-7,0.5742007,0.000001715869,0.2324949,0.00008352015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995674,0.002563853,0.00005349879,0.00006585648,0.0001417157,0.0001505955,0.00002096661,0.000006434992,0.00132306],"genre_scores_gemma":[0.9932531,0.0009930612,0.0006538877,0.001163872,0.00003873141,0.000007988051,0.00005634942,0.00001277523,0.003820235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4109751,"threshold_uncertainty_score":0.5705923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002894020550017806,"score_gpt":0.2120946042689922,"score_spread":0.2092005837189744,"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."}}