{"id":"W3017122317","doi":"10.1101/2020.04.20.050195","title":"Consumption of artificially sweetened beverages during pregnancy impacts infant gut microbiota and body mass index","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; BC Children's Hospital; University of British Columbia; University of Manitoba; Alberta Children's Hospital; University of Alberta; University of Calgary; McMaster University; Université de Sherbrooke","funders":"","keywords":"Body mass index; Pregnancy; Gut flora; Obesity; Microbiome; Environmental health; Consumption (sociology); Physiology; Gut microbiome; Mass index; Cohort; Medicine; Biology; Immunology; Internal medicine; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001933044,0.0001906489,0.000175475,0.0002382178,0.0002092579,0.0003970441,0.0001333251,0.0001615078,0.001067764],"category_scores_gemma":[0.000668272,0.0001180358,0.000159989,0.0004616617,0.0001941454,0.00008962727,0.0002591567,0.0002523072,0.00009277522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394251,"about_ca_system_score_gemma":0.0006632525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05931618,"about_ca_topic_score_gemma":0.06011378,"domain_scores_codex":[0.9998826,0.00002140815,0.000004996881,0.00002621061,0.00003108508,0.00003371112],"domain_scores_gemma":[0.9997955,0.00003620445,0.00008243432,0.00002066101,0.00002704022,0.0000381742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009654892,0.00003321526,0.9470274,0.00005976381,0.00009853021,0.0002008979,0.0002183463,0.0001404484,0.04023092,0.00009290201,0.0002319446,0.01070003],"study_design_scores_gemma":[0.000001960203,0.00004199962,0.9976552,0.000005506193,0.00002232451,0.0001022085,0.00008130718,0.0001249046,0.001647196,0.00002769936,0.0002873072,0.000002359427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983322,0.0004437114,0.0001599756,0.00004695699,0.000004392828,0.000003376512,0.0006213104,0.00000484027,0.0003832215],"genre_scores_gemma":[0.9980196,0.0004487656,0.000404136,0.00003077951,0.000002488486,0.000006953262,0.000514752,0.000004538269,0.0005680757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05931618,"threshold_uncertainty_score":0.1179419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203677012686846,"score_gpt":0.2322593595585042,"score_spread":0.2202225894316357,"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."}}