{"id":"W1991013840","doi":"10.1016/j.cjca.2014.07.540","title":"A NOVEL APPROACH IN PREDICTING THE 10-YEAR RISK OF CARDIOVASCULAR DISEASE AMONG CANADIANS AND ITS ASSOCIATION WITH DIETARY INTAKE","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatoon Medical Imaging","funders":"","keywords":"Medicine; Framingham Risk Score; Logistic regression; Demography; Disease; Descriptive statistics; Population; Risk assessment; National Health and Nutrition Examination Survey; Environmental health; Gerontology; Internal medicine; Statistics","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":[0.001144163,0.000890194,0.0005935489,0.00212182,0.001658519,0.00190931,0.001111876,0.0008618992,0.002488312],"category_scores_gemma":[0.003282244,0.0002676203,0.001225902,0.002873512,0.0003327645,0.000401945,0.0007369835,0.001053795,0.0004094287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004402325,"about_ca_system_score_gemma":0.00969038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8443528,"about_ca_topic_score_gemma":0.897512,"domain_scores_codex":[0.9991665,0.0001531576,0.00006245686,0.0001448088,0.0003239056,0.0001493123],"domain_scores_gemma":[0.9988087,0.0001326537,0.0001685903,0.00005161411,0.0006681276,0.0001702807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002203348,0.0001265933,0.9864015,0.00005689688,0.0004158953,0.00005282419,0.0001336032,0.0003876404,0.0004422338,0.0001866285,0.001168562,0.01040717],"study_design_scores_gemma":[0.00003433155,0.0001237487,0.9918224,0.00004240319,0.0003951311,0.0001451017,0.000454015,0.004200723,0.0003057954,0.0002191144,0.002228414,0.00002875877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642236,0.002434134,0.004959815,0.001753997,0.0001770777,0.0002995562,0.01086342,0.0001690703,0.0151193],"genre_scores_gemma":[0.9860253,0.0007088738,0.007638576,0.0002430494,0.00005559593,0.0001061128,0.002096436,0.00001449717,0.003111456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1556472,"threshold_uncertainty_score":0.3131277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421834948633395,"score_gpt":0.2187782358068857,"score_spread":0.2045598863205517,"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."}}