{"id":"W2738082160","doi":"10.1016/j.cjca.2017.07.011","title":"Importance of Optimization of Cardiovascular Risk Factors and Lifestyle Behaviours","year":2017,"lang":"en","type":"letter","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Medicine; Myocardial infarction; Framingham Heart Study; Framingham Risk Score; Stroke (engine); Disease; Population; Risk factor; Internal medicine; Gerontology; Demography; 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":[0.00107382,0.0003277164,0.0009759222,0.0003564505,0.001973999,0.001532958,0.0005036281,0.0107801,0.003720291],"category_scores_gemma":[0.01148224,0.0002060923,0.0006876103,0.000347117,0.001086255,0.001123627,0.0006043467,0.01404634,0.0009559959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343163,"about_ca_system_score_gemma":0.002954226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007335782,"about_ca_topic_score_gemma":0.01995706,"domain_scores_codex":[0.9985768,0.0004542518,0.0001803215,0.0001479066,0.0004180657,0.0002226848],"domain_scores_gemma":[0.9956729,0.002160989,0.0002562925,0.0001367363,0.0006634125,0.001109671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004240102,0.001149563,0.0831848,0.000653217,0.0002983655,0.05872929,0.00157824,0.0005025131,0.001374549,0.01559565,0.6190516,0.2174582],"study_design_scores_gemma":[0.0005749821,0.0006523365,0.1386551,0.002917098,0.000406843,0.09064364,0.00330467,0.002226845,0.0006173766,0.0455725,0.7141844,0.0002441307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00899719,0.006032066,0.0002486717,0.9589913,0.007267628,0.00001934061,0.00003674813,0.0000164455,0.01839054],"genre_scores_gemma":[0.1869714,0.009387876,0.002437882,0.6882363,0.1036695,0.00008436065,0.00008876919,0.00003758742,0.009086277],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0107801,"threshold_uncertainty_score":0.01700091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687359396816207,"score_gpt":0.2471446434074318,"score_spread":0.2302710494392698,"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."}}