{"id":"W2626741611","doi":"10.2147/vhrm.s138800","title":"Worksite-based cardiovascular risk screening and management: a feasibility study","year":2017,"lang":"en","type":"article","venue":"Vascular Health and Risk Management","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary; Alberta Health; Libin Cardiovascular Institute of Alberta; Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Medicine; Framingham Risk Score; Dyslipidemia; Risk factor; Blood pressure; Diabetes mellitus; Internal medicine; Physical therapy; Emergency medicine; Disease; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01019652,0.0004749314,0.0009442661,0.0003189713,0.01190341,0.0001606858,0.000456823,0.0001894771,0.00003874885],"category_scores_gemma":[0.0001668336,0.0004169905,0.0003068639,0.0002286283,0.0001541147,0.0002263856,0.0008475022,0.001141731,0.00006714951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983464,"about_ca_system_score_gemma":0.0001162714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006796286,"about_ca_topic_score_gemma":0.000874712,"domain_scores_codex":[0.99275,0.002631736,0.0009819592,0.001317481,0.0008096546,0.001509155],"domain_scores_gemma":[0.9949971,0.0002170388,0.0008359869,0.002714913,0.00008350229,0.001151399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001876028,0.0001887031,0.7221855,0.003021852,0.0009935701,0.00005061692,0.001280482,0.0001078158,4.265165e-9,0.0004118645,0.0006741799,0.2708978],"study_design_scores_gemma":[0.0094807,0.0003042059,0.797704,0.0008471584,0.0008865962,7.025379e-7,0.006066068,0.001396286,8.212928e-8,0.0004583322,0.1824223,0.0004335012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8181711,0.08139773,0.05123024,0.001725651,0.001635087,0.02830714,0.00006038542,0.0006153994,0.01685725],"genre_scores_gemma":[0.6906964,0.2834005,0.02015501,0.002634337,0.0004956969,0.001363879,0.00004460397,0.0001442106,0.001065446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704643,"threshold_uncertainty_score":0.9998282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718913769728911,"score_gpt":0.3622636777385877,"score_spread":0.3250745400412986,"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."}}