{"id":"W2047229407","doi":"10.1016/s0828-282x(08)70597-x","title":"How many cardiovascular events can be prevented with optimal management of high-risk Canadians?","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Canadian Heart Research Centre; University of Toronto","funders":"","keywords":"Medicine; Statin; Population; Disease; Diabetes mellitus; Clinical trial; Health care; Intensive care medicine; Cardiovascular health; Disease management; Emergency medicine; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00179025,0.0005332339,0.001150922,0.0008983385,0.003085902,0.002614458,0.001504317,0.003060564,0.009298107],"category_scores_gemma":[0.01616738,0.0002567366,0.0009647264,0.001681663,0.001228689,0.002316067,0.0009066344,0.00316717,0.001035464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01352529,"about_ca_system_score_gemma":0.04523515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8340606,"about_ca_topic_score_gemma":0.8996944,"domain_scores_codex":[0.9984554,0.0002461188,0.00009949363,0.0001285715,0.0005395174,0.000530799],"domain_scores_gemma":[0.994145,0.0006893609,0.0005746861,0.0001006719,0.001957092,0.002533211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00193234,0.001543623,0.2584326,0.001898748,0.001128866,0.001023035,0.001090932,0.001142271,0.0004640321,0.008489407,0.3560662,0.366788],"study_design_scores_gemma":[0.00159934,0.0004988201,0.7702094,0.0058974,0.002924895,0.001924799,0.01010538,0.002023295,0.0005095958,0.0173465,0.1865872,0.0003734018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06429798,0.06978815,0.0006738425,0.8286513,0.003187185,0.00006372421,0.002626217,0.00009983314,0.03061169],"genre_scores_gemma":[0.7966705,0.0873698,0.004544913,0.09500844,0.007456623,0.0001244675,0.001654154,0.00005641427,0.00711469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1659394,"threshold_uncertainty_score":0.3338332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229148442732493,"score_gpt":0.2041602538979645,"score_spread":0.1918687694706396,"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."}}