{"id":"W4214592811","doi":"10.1093/eurheartj/ehac113","title":"Risk factors, cardiovascular disease, and mortality in South America: a PURE substudy","year":2022,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research; Population Health Research Institute","keywords":"Medicine; Demography; Incidence (geometry); Cohort; Hazard ratio; Population; Mortality rate; Abdominal obesity; Cohort study; Obesity; Diabetes mellitus; Environmental health; Internal medicine; Metabolic syndrome; Confidence interval; Endocrinology","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":[0.001662662,0.00053342,0.000671384,0.001703283,0.00106958,0.0006539997,0.0003936682,0.0005086057,0.001327381],"category_scores_gemma":[0.00166664,0.0004945082,0.00127754,0.003253716,0.0003419453,0.0005106559,0.001006924,0.0005172483,0.0003191053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005542585,"about_ca_system_score_gemma":0.0009301849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355664,"about_ca_topic_score_gemma":0.04724174,"domain_scores_codex":[0.9992047,0.0003594761,0.0001131202,0.0001473879,0.00009554028,0.00007981471],"domain_scores_gemma":[0.9985785,0.0002497497,0.0004327087,0.0003161565,0.0002641394,0.0001587052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004512763,0.0001411582,0.9937747,0.0002577502,0.0009782297,0.00006645115,0.0002258659,0.00003103597,0.0003390413,0.00001172753,0.0005135404,0.003209187],"study_design_scores_gemma":[0.00009715555,0.0002013123,0.9976848,0.00007128948,0.0007354533,0.0001475382,0.0002039069,0.00003284694,0.00005721478,0.00001472917,0.0007473449,0.000006321571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857869,0.004921839,0.0002812394,0.0001447888,0.00003210763,0.0006616332,0.006400625,0.00001503136,0.00175585],"genre_scores_gemma":[0.9812262,0.005136197,0.000857517,0.0004099753,0.0001641249,0.001955115,0.009418086,0.00001114411,0.0008215908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02355664,"threshold_uncertainty_score":0.04683906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175683562455307,"score_gpt":0.2548425980896534,"score_spread":0.2230857624651004,"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."}}