{"id":"W2560008776","doi":"10.1139/apnm-2016-0508","title":"Western dietary pattern increases risk of cardiovascular disease in Iranian adults: a prospective population-based study","year":2016,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Confounding; Hazard ratio; Proportional hazards model; Disease; Demography; Incidence (geometry); Prospective cohort study; Internal medicine; Population; Bayesian multivariate linear regression; Confidence interval; Regression analysis; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000123774,0.0001721226,0.0005863009,0.0001114032,0.00006613151,0.000002507585,0.00003839413,0.00005569481,0.00002167237],"category_scores_gemma":[0.00003377701,0.0001190632,0.0001607117,0.0001271906,0.00007690343,0.00004488596,0.00003426371,0.00008483982,0.000004557813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002305355,"about_ca_system_score_gemma":0.00001446994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029672,"about_ca_topic_score_gemma":0.00004447823,"domain_scores_codex":[0.9988919,0.0001056768,0.0002774808,0.0003456547,0.0001842199,0.0001950763],"domain_scores_gemma":[0.9993608,0.000108222,0.00008820444,0.0002369559,0.00007276393,0.0001330782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001827182,0.004169488,0.9849589,0.0002336457,0.0005575797,0.000007166376,0.00009492192,0.000004689124,0.001104592,0.00009790835,0.0000159659,0.006927886],"study_design_scores_gemma":[0.01609863,0.00006637497,0.9809396,0.0001697314,0.0006470832,6.973461e-7,0.0002133476,0.000005248595,0.00007675972,0.000876791,0.0007709899,0.0001347292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920353,0.006188668,0.00003155876,0.0001334589,0.00004047539,0.001297997,0.0002317756,0.00002639265,0.00001436615],"genre_scores_gemma":[0.9972866,0.001584967,0.00006320245,0.0001565766,0.0002289599,0.0005584197,0.0001036267,0.00001521456,0.000002386496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427145,"threshold_uncertainty_score":0.4855258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009240121718533272,"score_gpt":0.2356338056344922,"score_spread":0.2263936839159589,"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."}}