{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00161095,0.00009064488,0.0003208866,0.000382419,0.000176152,0.0001119525,0.00006653729,0.00003216228,0.00007729896],"category_scores_gemma":[0.0006984455,0.00006269199,0.00004310083,0.0003285923,0.0001140508,0.0001901449,0.00008760271,0.0004967804,0.000003522844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008823921,"about_ca_system_score_gemma":0.000928368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003986405,"about_ca_topic_score_gemma":0.0000197415,"domain_scores_codex":[0.9972107,0.0003316514,0.0003507573,0.0001633512,0.001555238,0.0003883123],"domain_scores_gemma":[0.997557,0.0002872274,0.0001673689,0.000106999,0.001479437,0.0004019555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002783985,0.0005483216,0.9608703,0.001074579,0.00110967,0.0009394212,0.0003360017,0.000005073176,0.003931475,0.007150898,0.0007619545,0.02299391],"study_design_scores_gemma":[0.002614948,0.001259393,0.990783,0.0005085405,0.0000463064,0.000211257,0.0001499894,0.0000342756,0.00128872,0.001984814,0.001061127,0.00005760369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617137,0.008972311,0.0004710656,0.02735906,0.00003072102,0.0008353329,0.00005978414,0.000007261628,0.0005508074],"genre_scores_gemma":[0.9383284,0.009228542,0.04342415,0.0003516861,0.00015144,0.0000940387,0.00004153296,0.00003543308,0.008344774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04295309,"threshold_uncertainty_score":0.2556505,"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."}}