{"id":"W4220911727","doi":"10.1093/eurjpc/zwac069","title":"Medications for blood pressure, blood glucose, lipids, and anti-thrombotic medications: relationship with cardiovascular disease and death in adults from 21 high-, middle-, and low-income countries with an elevated body mass index","year":2022,"lang":"en","type":"article","venue":"European Journal of Preventive Cardiology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Queen's University; McMaster University; Université Laval; Population Health Research Institute; Hamilton Health Sciences; Hamilton General Hospital","funders":"","keywords":"Medicine; Hazard ratio; Myocardial infarction; Body mass index; Blood pressure; Internal medicine; Stroke (engine); Heart failure; Proportional hazards model; Population; Epidemiology; Disease; Cause of death; Cardiology; Confidence interval; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002341368,0.0002691353,0.00104031,0.0003132713,0.0002645426,0.00003432484,0.0001776156,0.00005628419,0.00001283618],"category_scores_gemma":[0.0003111895,0.0002163116,0.0001952422,0.0002359491,0.0003790849,0.0002211134,0.00009710867,0.0005132558,5.060099e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002482431,"about_ca_system_score_gemma":0.0002532732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367826,"about_ca_topic_score_gemma":0.00001832947,"domain_scores_codex":[0.9961702,0.001866727,0.0005754774,0.0005289485,0.0005646317,0.0002940665],"domain_scores_gemma":[0.9980198,0.0003218941,0.0003647211,0.0005431402,0.0003582279,0.0003922913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002217564,0.0003459295,0.9573706,0.0006052834,0.03313419,0.001574261,0.0008506297,0.001571645,0.00007573154,0.0002642135,0.00002376741,0.001966213],"study_design_scores_gemma":[0.01222168,0.001755436,0.965269,0.0008023086,0.01721081,0.0007322915,0.0003888106,0.0001227178,0.00003829159,0.0002719953,0.0009425636,0.0002441021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401554,0.05454239,0.003633233,0.000205078,0.0001009674,0.001067804,0.0002334547,0.00002344975,0.00003815667],"genre_scores_gemma":[0.994755,0.002788354,0.001672614,0.00005343533,0.0003799924,0.00008891825,0.0001692589,0.00006225609,0.00003013512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05459957,"threshold_uncertainty_score":0.882093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013350641971282,"score_gpt":0.216037998669999,"score_spread":0.2059044922502862,"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."}}