{"id":"W4400932342","doi":"10.1093/eurjpc/zwae242","title":"External validation and comparison of six cardiovascular risk prediction models in the Prospective Urban Rural Epidemiology (PURE)-Colombia study","year":2024,"lang":"en","type":"article","venue":"European Journal of Preventive Cardiology","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"Canadian Institutes of Health Research; Hamilton Health Sciences; Heart and Stroke Foundation of Canada; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Population Health Research Institute","keywords":"Medicine; Prospective cohort study; Statistic; Framingham Risk Score; Epidemiology; Statistics; Demography; Cohort; Calibration; Risk factor; Framingham Heart Study; Receiver operating characteristic; Gerontology; Internal medicine; Mathematics; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01806295,0.001551888,0.0007346299,0.001354452,0.0004579238,0.00137082,0.001183383,0.0005527099,0.001107239],"category_scores_gemma":[0.03214616,0.0003235404,0.001085472,0.000783531,0.0005077837,0.0003909311,0.001411479,0.0006130008,0.00048769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009557628,"about_ca_system_score_gemma":0.00149553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02402844,"about_ca_topic_score_gemma":0.02346248,"domain_scores_codex":[0.9899426,0.007278822,0.0004047071,0.001227551,0.0008594451,0.0002869483],"domain_scores_gemma":[0.9786729,0.01029204,0.002811447,0.003027921,0.004281546,0.0009140516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001352104,0.0001356303,0.9837605,0.0001050878,0.0007058569,0.00005533034,0.0002498978,0.002124818,0.0003037822,0.0001240524,0.001047828,0.01003506],"study_design_scores_gemma":[0.0003308934,0.0005722163,0.9678852,0.0001456319,0.0006781056,0.0001704588,0.000477086,0.02688766,0.000699572,0.0001841585,0.001920437,0.00004864715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988463,0.0005700103,0.005439686,0.0001334231,0.0000560639,0.0002111713,0.003186835,0.0001353435,0.001804561],"genre_scores_gemma":[0.9927096,0.0001351702,0.002499674,0.00004101653,0.00001483179,0.0001414981,0.004130156,0.00003728068,0.0002907586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402844,"threshold_uncertainty_score":0.09552717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712057123960176,"score_gpt":0.3223223992045338,"score_spread":0.285201827964932,"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."}}