{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008306493,0.00008110796,0.0001328338,0.00003332336,0.00005764615,0.00001407103,0.0000786138,0.00009800657,0.000001136904],"category_scores_gemma":[0.00008710296,0.00007414608,0.00001306672,0.00005485368,0.00007903397,0.00000282973,0.00008569649,0.0001397684,8.220861e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002122426,"about_ca_system_score_gemma":0.00003355245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000159867,"about_ca_topic_score_gemma":0.00008900408,"domain_scores_codex":[0.9992114,0.00008534981,0.0001566249,0.0002249824,0.0000307373,0.0002909378],"domain_scores_gemma":[0.9997807,0.00003915261,0.00005828544,0.00006467167,0.00001404234,0.00004315891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003283845,0.00001001513,0.9403933,0.00001306753,0.00003560604,0.000001904271,0.00007863029,8.564747e-7,0.05286038,0.00005020736,0.004392647,0.002130503],"study_design_scores_gemma":[0.00137886,0.0002130892,0.9554507,0.000005706387,0.00001730825,0.000004516446,0.0002007511,0.00001925424,0.006969673,0.0001219581,0.03550676,0.0001114557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993063,0.002880368,0.00003775632,0.003662646,0.0001247589,0.0001306171,0.00003130466,0.00000408984,0.00006549637],"genre_scores_gemma":[0.9961452,0.002166858,0.0008080625,0.0006295215,0.00008093291,0.000008295864,0.00007529984,0.000007886694,0.0000778707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04589071,"threshold_uncertainty_score":0.3023589,"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."}}