{"id":"W4366721887","doi":"10.1007/s00394-023-03151-7","title":"Plasma metabolomic response to high-carbohydrate meals of differing glycaemic load in overweight women","year":2023,"lang":"en","type":"article","venue":"European Journal of Nutrition","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agency for Science, Technology and Research; Biomedical Research Council; Ministry of Business, Innovation and Employment; Newcastle University; AgResearch","keywords":"Postprandial; Metabolome; Meal; Overweight; Glycemic load; Valine; Internal medicine; Metabolomics; Medicine; Endocrinology; Glycemic; Glycemic index; Food science; Metabolite; Body mass index; Biology; Amino acid; Biochemistry; Insulin; Bioinformatics","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":[0.001671942,0.0001299665,0.0003203459,0.0003775217,0.00003135295,0.00001408972,0.0002000105,0.00003148894,0.00001230486],"category_scores_gemma":[0.0003574617,0.00011919,0.00009575323,0.0004008932,0.00002534218,0.00000792706,0.0001238576,0.0001130616,0.00001798784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006054743,"about_ca_system_score_gemma":0.00003767919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002042462,"about_ca_topic_score_gemma":0.0000019901,"domain_scores_codex":[0.9984587,0.0004100501,0.0005166048,0.0001715744,0.000198042,0.0002450324],"domain_scores_gemma":[0.9993107,0.0000393329,0.0002570201,0.0001678891,0.0001322078,0.00009290183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002467411,0.0001082892,0.0001461186,0.00002586956,0.00007570181,0.00007156151,0.0002003374,0.00006614208,0.995207,0.00003653475,0.001112396,0.0004826335],"study_design_scores_gemma":[0.005889886,0.002706699,0.08603806,0.0002166536,0.0000441996,0.00005429603,0.00046089,0.00003013095,0.8555533,0.0002621558,0.04840122,0.0003425578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998284,0.0006613877,0.00009577243,0.000376859,0.0002636475,0.0001043697,0.00002264888,0.000005955731,0.0001853673],"genre_scores_gemma":[0.9967349,0.00204977,0.0007271918,0.00005553618,0.0002292236,0.000004849861,0.00000614276,0.000025553,0.000166866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396538,"threshold_uncertainty_score":0.4860427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009366776050623395,"score_gpt":0.2288456534286987,"score_spread":0.2194788773780753,"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."}}