{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074999,0.0003985236,0.0005150386,0.0008217452,0.000423557,0.0006401208,0.0004111667,0.0004998213,0.001134977],"category_scores_gemma":[0.002868408,0.0004714028,0.000787535,0.001112009,0.000243741,0.0003216401,0.0007695998,0.0008165964,0.0001458979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754673,"about_ca_system_score_gemma":0.0002312556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004449989,"about_ca_topic_score_gemma":0.005912618,"domain_scores_codex":[0.9992797,0.0002394691,0.00009837007,0.0001363126,0.0001475043,0.0000986937],"domain_scores_gemma":[0.9978234,0.0004773267,0.001034626,0.0001435529,0.0001649937,0.0003561309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009126888,0.00001341226,0.9994155,0.000004349853,0.00008999513,0.00001381297,0.00001217099,0.00001456648,0.00002850714,0.000002464687,0.00002702097,0.000286883],"study_design_scores_gemma":[0.00001176315,0.00007374828,0.9994621,0.00000421588,0.00006608811,0.00008022749,0.00004623111,0.0001747528,0.00001679712,0.000006396021,0.0000556401,0.000002087307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990599,0.000430358,0.00005207122,0.00003570127,0.000006238837,0.000004800492,0.0002966582,0.000002544581,0.0001118029],"genre_scores_gemma":[0.9991202,0.000185609,0.00008736123,0.00002433518,0.00001645696,0.0000101326,0.0004695246,0.000001464854,0.00008496452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004449989,"threshold_uncertainty_score":0.00884819,"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."}}