{"id":"W2112820664","doi":"10.1161/circulationaha.106.633552","title":"Risk Factors for Acute Myocardial Infarction in Latin America","year":2007,"lang":"en","type":"article","venue":"Circulation","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":352,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Medicine; Internal medicine; Odds ratio; Myocardial infarction; Population; Diabetes mellitus; Abdominal obesity; Risk factor; Confidence interval; Obesity; Waist; 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":[0.0005114346,0.0003292908,0.0002645847,0.0008750716,0.0002769302,0.0006523532,0.0002214476,0.0002782614,0.002900902],"category_scores_gemma":[0.001241567,0.0001306763,0.0002197031,0.001426223,0.0002708717,0.0001907171,0.0003602851,0.0003748146,0.0002242151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004815388,"about_ca_system_score_gemma":0.0006502154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199546,"about_ca_topic_score_gemma":0.01503484,"domain_scores_codex":[0.9997891,0.00008419476,0.00002147813,0.0000331734,0.00003359044,0.00003856875],"domain_scores_gemma":[0.9993427,0.0001085653,0.0003409689,0.00002507989,0.00007661524,0.0001060666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000722933,0.00006093637,0.9910439,0.00009773106,0.00007122457,0.0002283248,0.0001740366,0.0000255124,0.0001845451,0.00009077769,0.0008465629,0.007104068],"study_design_scores_gemma":[0.00004616518,0.00005034563,0.9950582,0.0002116927,0.00008710426,0.0006672423,0.0005038723,0.00009921735,0.00003103412,0.0002017838,0.003038693,0.000004629751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537634,0.02610373,0.000408823,0.003250774,0.00009227823,0.00008436636,0.001639043,0.00004486324,0.01461269],"genre_scores_gemma":[0.9865608,0.01044364,0.0004397152,0.0006818313,0.0001274754,0.00007953028,0.001013525,0.000007786,0.000645693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0199546,"threshold_uncertainty_score":0.0396769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542312750795513,"score_gpt":0.2740097153774069,"score_spread":0.2585865878694518,"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."}}