{"id":"W3128027673","doi":"10.1021/acs.jproteome.0c00854","title":"Maternal and Cord Blood Metabolite Associations with Gestational Weight Gain and Pregnancy Health Outcomes","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Health Sciences, University of Ottawa; Alberta Children's Hospital Foundation; University of Calgary; Canadian Institutes of Health Research; Ohio State University","keywords":"Pregnancy; Medicine; Metabolome; Umbilical cord; Weight gain; Gestation; Cord blood; Fetus; Obstetrics; Internal medicine; Body mass index; Physiology; Overweight; Endocrinology; Obesity; Metabolite; Biology; Immunology; Body weight","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":[0.000407251,0.0003105673,0.000229831,0.0005195116,0.0001628339,0.0004995717,0.0001834563,0.0003351066,0.001647947],"category_scores_gemma":[0.002158623,0.0001540073,0.0002560469,0.0008329878,0.0001455291,0.0001449695,0.0003029928,0.0004927175,0.0001666641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996829,"about_ca_system_score_gemma":0.0002661689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003757773,"about_ca_topic_score_gemma":0.003777598,"domain_scores_codex":[0.9997395,0.00007112874,0.00002731327,0.00006855601,0.00005382029,0.00003970867],"domain_scores_gemma":[0.9991304,0.000214228,0.0004256291,0.00006749193,0.00007847162,0.0000836518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001903137,0.00006887041,0.9740624,0.00009581344,0.000226443,0.0003020877,0.0001031736,0.0001661515,0.008666559,0.0001458697,0.0002281772,0.01403127],"study_design_scores_gemma":[0.000008100488,0.0001815702,0.9969386,0.00002135911,0.00008114542,0.0004141014,0.00004301203,0.0002637854,0.001565297,0.00009687044,0.0003820861,0.000004141975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934387,0.002543598,0.0005402655,0.000138445,0.00002019929,0.0000138123,0.002031329,0.00001739842,0.001256185],"genre_scores_gemma":[0.9961956,0.001104876,0.0009656879,0.00004463282,0.00001300141,0.00002286643,0.001027863,0.000006880221,0.0006187615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003757773,"threshold_uncertainty_score":0.0074718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06125084518827872,"score_gpt":0.4030474676698904,"score_spread":0.3417966224816116,"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."}}