{"id":"W4417362291","doi":"10.1093/eurheartj/ehaf947","title":"Combined clinical, metabolomic, and polygenic scores for cardiovascular risk prediction","year":2025,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Scottish Government Health and Social Care Directorate; Medical Research Council; Public Health Agency; Department of Health and Social Care; Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; Health and Social Care Research and Development Division; National Institute for Health and Care Research; Dell EMC; Wellcome Trust; Science and Technology Facilities Council; British Heart Foundation; NIHR Cambridge Biomedical Research Centre; Economic and Social Research Council","keywords":"Population; Polygenic risk score; Disease; MEDLINE; Risk assessment; Cardiovascular health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01521896,0.002111899,0.001609114,0.00349976,0.000420995,0.002307538,0.0007390914,0.0007441002,0.00263587],"category_scores_gemma":[0.02098099,0.0003687264,0.002544649,0.002757765,0.0006307659,0.001311225,0.001964685,0.001584324,0.0005859804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390483,"about_ca_system_score_gemma":0.0009403882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002750507,"about_ca_topic_score_gemma":0.00366965,"domain_scores_codex":[0.9916678,0.005915789,0.0003321058,0.0008754821,0.001003403,0.0002054193],"domain_scores_gemma":[0.9852651,0.009273816,0.001687179,0.001793461,0.001389226,0.0005912023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002462224,0.000387622,0.8088074,0.0003012386,0.006925786,0.0001913475,0.0001833816,0.04127569,0.001388199,0.001311148,0.002110339,0.1346555],"study_design_scores_gemma":[0.0003111702,0.004064698,0.6386112,0.000225671,0.003115252,0.0008895902,0.0001600014,0.3331335,0.001888303,0.01426619,0.003105438,0.0002289538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780124,0.004141253,0.1049004,0.001698992,0.0002752538,0.00040782,0.004458144,0.0006321513,0.00547353],"genre_scores_gemma":[0.9687338,0.0004474544,0.02879231,0.0001189763,0.0001279065,0.0001049571,0.00103861,0.00003120191,0.0006047862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01521896,"threshold_uncertainty_score":0.08048648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533335615076885,"score_gpt":0.3033928519272103,"score_spread":0.2780594957764414,"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."}}