{"id":"W4388728627","doi":"10.1038/s41564-023-01519-3","title":"Multiple micronutrient deficiencies in early life cause multi-kingdom alterations in the gut microbiome and intrinsic antibiotic resistance genes in mice","year":2023,"lang":"en","type":"article","venue":"Nature Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Michael Smith Health Research BC; University of British Columbia","funders":"","keywords":"Resistome; Microbiome; Micronutrient; Biology; Microbiology; Antibiotic resistance; Antibiotics; Micronutrient deficiency; Bacteria; Genetics; Medicine","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":[0.0005856017,0.0002657586,0.0003201055,0.0004503769,0.000124828,0.0000428323,0.0003662668,0.0006615766,0.000001672808],"category_scores_gemma":[0.0001881508,0.000221003,0.00005653491,0.0008386414,0.0002411124,0.000009570178,0.0001761817,0.0006176755,0.00001778538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006162695,"about_ca_system_score_gemma":0.0001541457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003327517,"about_ca_topic_score_gemma":0.0218449,"domain_scores_codex":[0.9978452,0.0003189816,0.0004682422,0.0006781581,0.00004061306,0.0006488298],"domain_scores_gemma":[0.9993308,0.0001118807,0.0001083176,0.0003367861,0.00005887074,0.0000533094],"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":[0.0001089168,0.0001297151,0.05222894,0.00005675173,0.00001097185,0.00003206436,0.0009151039,0.00002188853,0.9450904,0.00006204315,0.001287166,0.00005600776],"study_design_scores_gemma":[0.005080142,0.0002416334,0.7938287,0.0001923564,0.00002004888,0.000177739,0.001066628,0.00003767241,0.1341581,0.00002019274,0.06444315,0.000733665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882917,0.009319408,0.00001477897,0.001423948,0.0001978698,0.0005974426,0.0001271909,0.00001651535,0.00001114726],"genre_scores_gemma":[0.9959699,0.001020167,0.0006809273,0.00165815,0.00006660365,0.00002056907,0.0004249181,0.00002330311,0.0001354464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8109323,"threshold_uncertainty_score":0.9960039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599361454981202,"score_gpt":0.2728191349607583,"score_spread":0.2568255204109463,"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."}}