{"id":"W2179668103","doi":"10.1139/apnm-2015-0074","title":"Predicted 10-year risk of cardiovascular disease among Canadian adults using modified Framingham Risk Score in association with dietary intake","year":2015,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; Framingham Risk Score; Logistic regression; Demography; Odds; Disease; Risk assessment; Lower risk; Percentile; Odds ratio; Gerontology; Environmental health; Internal medicine; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0009345489,0.0006787566,0.0004749856,0.001354196,0.000785858,0.000758137,0.0009760876,0.0004198874,0.002544421],"category_scores_gemma":[0.002318086,0.0003043425,0.0008380665,0.001875463,0.000205582,0.0002718006,0.0004706803,0.0008030338,0.0004028293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006350044,"about_ca_system_score_gemma":0.009957988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9708586,"about_ca_topic_score_gemma":0.9656252,"domain_scores_codex":[0.9994493,0.00004818252,0.00003600824,0.0001199293,0.0002536039,0.00009289027],"domain_scores_gemma":[0.9993014,0.00004685382,0.0001231882,0.00003010059,0.0003900279,0.0001083776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003847727,0.0000620269,0.9825804,0.0001575276,0.0003048003,0.00005566857,0.0001912992,0.0006693698,0.0002245391,0.0001880433,0.004603814,0.01057788],"study_design_scores_gemma":[0.00003299057,0.00005573548,0.9950206,0.00004809719,0.0001565887,0.00007531904,0.0001627012,0.002653519,0.00008948819,0.0000692984,0.001609735,0.0000258009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564961,0.003277377,0.001278963,0.000560884,0.00007069189,0.0002028069,0.03128038,0.0001440616,0.006688887],"genre_scores_gemma":[0.981638,0.001348619,0.002617668,0.0001204746,0.00002711548,0.00008966497,0.0118068,0.00001492106,0.002336685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02914137,"threshold_uncertainty_score":0.05862594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601740742284911,"score_gpt":0.2174696489117254,"score_spread":0.2014522414888763,"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."}}