{"id":"W3094552001","doi":"10.3389/fendo.2020.550319","title":"The Association Between Gestational Diabetes and Microbiota in Placenta and Cord Blood","year":2020,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Shanghai Hospital Development Center; Ministry of Science and Technology of the People's Republic of China; Shanghai Municipal Education Commission; National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"Biology; Gestational diabetes; Ruminococcus; Bacteroidetes; Firmicutes; Placenta; Cord blood; Gut flora; Proteobacteria; Physiology; Offspring; Pregnancy; Immunology; Gestation; Genetics; Fetus; 16S ribosomal RNA; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000459919,0.0002636304,0.0002735232,0.0006838226,0.0002482273,0.0006789018,0.0002520166,0.0003705414,0.001466994],"category_scores_gemma":[0.002509292,0.000174568,0.0002722008,0.0009242161,0.0002825217,0.0002143616,0.0004675762,0.0005712607,0.0001262341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217313,"about_ca_system_score_gemma":0.0002872279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003735976,"about_ca_topic_score_gemma":0.002587789,"domain_scores_codex":[0.9995061,0.0001290338,0.00004720539,0.0001292287,0.0001092748,0.00007911275],"domain_scores_gemma":[0.9987786,0.0002304131,0.0006673135,0.00007193944,0.0001027813,0.00014895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001151071,0.00003693484,0.9784806,0.0001256627,0.0001479109,0.0005447376,0.0001877444,0.00004634063,0.00782125,0.00009204078,0.0001585954,0.01120704],"study_design_scores_gemma":[0.00000799021,0.0001111538,0.9971106,0.00005329355,0.00006899994,0.001070904,0.0001695109,0.0001727063,0.000684972,0.00009808936,0.0004469834,0.000004878754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938216,0.004572392,0.0003120419,0.0001996904,0.00002583145,0.000007921043,0.000382464,0.000009625885,0.0006684647],"genre_scores_gemma":[0.9976325,0.001366322,0.0004704352,0.00004937922,0.00001781329,0.000008690204,0.000232441,0.000004964143,0.0002174228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003735976,"threshold_uncertainty_score":0.007428467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007142015038172325,"score_gpt":0.2242254942647268,"score_spread":0.2170834792265545,"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."}}