{"id":"W3009478032","doi":"10.1161/circ.141.suppl_1.mp64","title":"Abstract MP64: Associations of Pre-pregnancy BMI and Maternal Glycemia in Pregnancy With Maternal and Child Microbiome Five Years After Birth: Results From the Genetics of Glucose Regulation in Gestation and Growth (Gen3G) Prospective Cohort","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Pregnancy; Medicine; Microbiome; Body mass index; Obstetrics; Obesity; Gestational diabetes; Anthropometry; Birth weight; Gestation; Overweight; Physiology; Endocrinology; Internal medicine; Biology; Bioinformatics; Genetics","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":[0.001114291,0.0008086513,0.0005255661,0.0004841137,0.000922973,0.0007686653,0.0009106593,0.0009538361,0.002928484],"category_scores_gemma":[0.001962436,0.0006116454,0.00106066,0.001255616,0.0003037514,0.0003780601,0.0009640465,0.001058761,0.0005083689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006419555,"about_ca_system_score_gemma":0.0008701294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05066114,"about_ca_topic_score_gemma":0.05351813,"domain_scores_codex":[0.9994715,0.000147027,0.00003879474,0.0001663507,0.00007716512,0.00009909389],"domain_scores_gemma":[0.9989623,0.000112254,0.0002635707,0.0002447321,0.0001388947,0.0002783129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008825945,0.00004294861,0.9943755,0.00004398347,0.0003463697,0.000168382,0.0001371964,0.00008298592,0.00107673,0.00004513867,0.001483483,0.001314742],"study_design_scores_gemma":[0.00006542616,0.0001457644,0.9984801,0.00001808502,0.0001648487,0.0001668501,0.0001056132,0.0001157756,0.0001155774,0.00003355799,0.0005819257,0.000006471381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820826,0.000459564,0.0003403024,0.0001994969,0.00003276802,0.00005228315,0.01634425,0.00002059939,0.0004680099],"genre_scores_gemma":[0.9867033,0.0003116174,0.001073856,0.0001830806,0.00002730314,0.0002106033,0.009603989,0.00002947245,0.001856804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05066114,"threshold_uncertainty_score":0.1007325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009329720129609434,"score_gpt":0.235059472557408,"score_spread":0.2257297524277986,"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."}}