{"id":"W1989606263","doi":"10.1371/journal.pone.0119183","title":"Framingham Ten-Year General Cardiovascular Disease Risk: Agreement between BMI-Based and Cholesterol-Based Estimates in a South Asian Convenience Sample","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Confidence interval; Medicine; Body mass index; Framingham Risk Score; Demography; Internal medicine; Cohen's kappa; Blood pressure; Disease; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.005668679,0.0002959074,0.000382805,0.0008922793,0.0004600515,0.0004664081,0.0003702969,0.0001971871,0.00089878],"category_scores_gemma":[0.00847312,0.0001920769,0.0004248214,0.0005706966,0.0004012509,0.0002114176,0.0004929117,0.000180426,0.0001765989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007217777,"about_ca_system_score_gemma":0.0006741006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0848548,"about_ca_topic_score_gemma":0.1395152,"domain_scores_codex":[0.9979455,0.0007314006,0.0001989637,0.0003446625,0.0006183441,0.0001611111],"domain_scores_gemma":[0.9976586,0.0007110597,0.0004838029,0.0002648916,0.0007676135,0.0001140281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003625371,0.00003594451,0.9905509,0.00003712047,0.0002112987,0.00005891114,0.001636137,0.0001122314,0.000975897,0.00005491175,0.0002628454,0.005701229],"study_design_scores_gemma":[0.00001453137,0.00006030291,0.9983316,0.000006408418,0.00004102332,0.00007816267,0.0004332678,0.0005962802,0.0001862217,0.00002979002,0.0002148667,0.000007558137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981701,0.00009060306,0.0008522063,0.00001339689,0.00000568825,0.00004913157,0.0002024619,0.000008462488,0.000607952],"genre_scores_gemma":[0.998364,0.00005289109,0.0008918161,0.00002343476,0.000004040698,0.00004927994,0.0003356294,0.000003669083,0.0002752972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0848548,"threshold_uncertainty_score":0.1687218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840691900813005,"score_gpt":0.2363598944173901,"score_spread":0.1879529754092601,"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."}}