{"id":"W4400294602","doi":"10.1111/ijpo.13149","title":"Plasma metabolomic profile of adiposity and body composition in childhood: The Genetics of Glucose regulation in Gestation and Growth cohort","year":2024,"lang":"en","type":"article","venue":"Pediatric Obesity","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"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 Hospitalier Universitaire de Sherbrooke","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Diabète Québec","keywords":"Medicine; Cohort; Gestation; Body mass index; Metabolomics; Endocrinology; Cohort study; Obesity; Internal medicine; Physiology; Pregnancy; Genetics; Bioinformatics; Biology","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":[0.0003242512,0.00008454876,0.0001634605,0.0001159712,0.00002806174,0.000009040609,0.00004736063,0.00006753922,0.00000196453],"category_scores_gemma":[0.00003630443,0.00006969351,0.00002416187,0.0002092913,0.00005217866,0.0000063029,0.0000743578,0.00007019574,2.348926e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009013515,"about_ca_system_score_gemma":0.00002815033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000759778,"about_ca_topic_score_gemma":0.00005270517,"domain_scores_codex":[0.9993347,0.00006790498,0.0002206336,0.0002028736,0.00008228775,0.00009162293],"domain_scores_gemma":[0.9997372,0.0000354246,0.00007477088,0.00009582194,0.00003873038,0.00001807717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000379722,0.00009731475,0.8580137,0.0001353263,0.00003506986,6.570206e-7,0.0001388903,0.00001624386,0.1402194,0.0007520348,0.00003126458,0.0005220757],"study_design_scores_gemma":[0.000255546,0.00007100289,0.8889612,0.00000539754,0.00008238884,0.000003054723,0.0000134581,0.0006786737,0.1094661,0.0003900511,0.0000129017,0.00006023329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859799,0.01340101,0.0001409445,0.00004884043,0.00005159934,0.0002783432,0.00003269815,0.000003286851,0.00006334898],"genre_scores_gemma":[0.9875668,0.01188175,0.000417752,0.000005364587,0.00005780823,0.000009789482,0.00004638113,0.000005888532,0.000008409675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03094746,"threshold_uncertainty_score":0.2842019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00364456297486464,"score_gpt":0.2109394387622935,"score_spread":0.2072948757874289,"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."}}