{"id":"W1973529232","doi":"10.1371/journal.pone.0013953","title":"Metabolic Footprint of Diabetes: A Multiplatform Metabolomics Study in an Epidemiological Setting","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":561,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chenomx (Canada)","funders":"Münchner Zentrum für Gesundheitswissenschaften; Bundesministerium für Bildung und Forschung","keywords":"Metabolomics; Metabolome; Diabetes mellitus; Population; Biology; Bioinformatics; Medicine; Physiology; Computational biology; Endocrinology; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098425,0.0004783388,0.0004275167,0.001210246,0.0006350969,0.0009163177,0.0003193393,0.0006496215,0.001861174],"category_scores_gemma":[0.001352502,0.0002586707,0.0004669638,0.001421517,0.000308701,0.0004820539,0.001424637,0.0006955224,0.000267822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527695,"about_ca_system_score_gemma":0.0002186361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664485,"about_ca_topic_score_gemma":0.002123636,"domain_scores_codex":[0.9994329,0.0002432507,0.00003243222,0.0001643147,0.00007219137,0.0000549455],"domain_scores_gemma":[0.9989499,0.0001872413,0.000324149,0.000191341,0.00009829083,0.0002491512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001394417,0.0002638131,0.9897929,0.00003183567,0.0002776096,0.000321535,0.0002025007,0.0001126707,0.003319568,0.0000651068,0.0001396267,0.004078517],"study_design_scores_gemma":[0.00002394544,0.0005450175,0.9973226,0.000005503975,0.00014897,0.0006215309,0.0002099273,0.000316576,0.0004247958,0.0000903016,0.0002808832,0.000009944043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987376,0.000145001,0.0003683326,0.00005171454,0.000004418145,0.00002031254,0.0003750103,0.000007143848,0.0002904977],"genre_scores_gemma":[0.9982203,0.00006487765,0.001104892,0.00004860044,0.00001928485,0.00002107821,0.0003461255,0.000003552215,0.0001712684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001861174,"threshold_uncertainty_score":0.006226301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441179301224372,"score_gpt":0.2788498737099307,"score_spread":0.234438080697687,"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."}}