{"id":"W4386725724","doi":"10.1093/cvr/cvad147","title":"Predictive metabolites for incident myocardial infarction: a two-step meta-analysis of individual patient data from six cohorts comprising 7897 individuals from the COnsortium of METabolomics Studies","year":2023,"lang":"en","type":"review","venue":"Cardiovascular Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; Guy's and St Thomas' NHS Foundation Trust; Instituto de Salud Carlos III; Medical Research Council; European Commission; National Institute of Nursing Research; National Institute for Health and Care Research; King's College London; UK Research and Innovation; Michael Smith Health Research BC; Horizon 2020 Framework Programme; Chronic Disease Research Foundation; Department of Health and Human Services, State Government of Victoria; British Heart Foundation; National Center for Advancing Translational Sciences; National Human Genome Research Institute; Wellcome Trust; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Hazard ratio; Metabolomics; Medicine; Myocardial infarction; Internal medicine; Confidence interval; Meta-analysis; Metabolome; Proportional hazards model; Glutamine; Metabolite; Bioinformatics; Biology; Amino acid; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01111747,0.000797935,0.01000138,0.0008740036,0.0003835667,0.000124173,0.002490408,0.0004683655,0.00002351662],"category_scores_gemma":[0.004776689,0.0005361065,0.009817793,0.002365569,0.001032901,0.00002209272,0.006120355,0.0007142497,0.000004535623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000681974,"about_ca_system_score_gemma":0.0005886458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008463133,"about_ca_topic_score_gemma":0.0001619912,"domain_scores_codex":[0.9887166,0.003876629,0.002092615,0.001956064,0.002603496,0.0007545951],"domain_scores_gemma":[0.9886321,0.003518999,0.001159508,0.004721554,0.001820571,0.0001472053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005026181,0.00008278168,0.0001941074,0.0006762316,0.9751998,0.000004157214,0.0002564726,0.0002215129,0.00006542193,0.00007998433,0.003095258,0.02007401],"study_design_scores_gemma":[0.0004033421,0.0001092124,0.0003147873,0.0001094408,0.489883,0.000001749807,0.0008894734,0.00002058688,0.0002962794,0.0001003215,0.5075425,0.0003293318],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003022089,0.9394991,0.0007346011,0.00002974795,0.0004331501,0.003124289,0.05311504,0.00001591618,0.0000260933],"genre_scores_gemma":[0.00300395,0.9767758,0.001468323,0.00002641819,0.0006774379,0.001202964,0.01670615,0.0001160972,0.00002280563],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5044472,"threshold_uncertainty_score":0.9997091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3712880988720463,"score_gpt":0.4518581763516856,"score_spread":0.08057007747963929,"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."}}