{"id":"W4408230263","doi":"10.1101/2025.03.03.25323106","title":"Abundance of <i>Bifidobacterium</i> species in the infant gut microbiota and associations with maternal-infant characteristics in Dhaka, Bangladesh","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Hospital for Sick Children; Public Health Ontario; SickKids Foundation; University of Toronto; Institute for Clinical Evaluative Sciences","funders":"University of California, San Diego; International Centre for Diarrhoeal Disease Research, Bangladesh; Hospital for Sick Children; Bill and Melinda Gates Foundation","keywords":"Bifidobacterium; Gut flora; Abundance (ecology); Gut bacteria; Biology; Environmental health; Microbiology; Medicine; Food science; Immunology; Lactobacillus; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003091661,0.0003311665,0.0002354411,0.0006418194,0.0004000859,0.0006296779,0.0002439193,0.0002960054,0.00302153],"category_scores_gemma":[0.0008079454,0.0002469984,0.0001882921,0.001075989,0.0003353338,0.0002239344,0.000497432,0.0003047237,0.0006928606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007724786,"about_ca_system_score_gemma":0.0002976643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04303159,"about_ca_topic_score_gemma":0.04021147,"domain_scores_codex":[0.9997438,0.00005686245,0.00002832952,0.00008397355,0.00003526978,0.00005180852],"domain_scores_gemma":[0.9996852,0.00005017995,0.0001288384,0.00002093468,0.00006093214,0.00005395911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002734007,0.00002299701,0.9854102,0.0000657405,0.00005141527,0.0001621014,0.0008935555,0.00006152863,0.008910538,0.00007107138,0.0002207413,0.003856629],"study_design_scores_gemma":[0.000003251455,0.00005286577,0.9976093,0.00001742343,0.0000160923,0.0001240689,0.001273973,0.00005241692,0.0004234385,0.00001793246,0.0004033089,0.000006131405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971716,0.0002163676,0.0001028874,0.00006002983,0.000002081932,0.000008045357,0.001615766,0.000004371791,0.0008187975],"genre_scores_gemma":[0.9986494,0.0001918221,0.0001355231,0.00001867573,0.000001318424,0.00001450965,0.0006139142,0.000002470057,0.0003723325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04303159,"threshold_uncertainty_score":0.08556223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009567466230883243,"score_gpt":0.2458053294075615,"score_spread":0.2362378631766783,"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."}}