{"id":"W4408660942","doi":"10.1080/10852352.2025.2480455","title":"Hyperlipidemia risk factors among middle-aged population in the United States","year":2025,"lang":"en","type":"article","venue":"Journal of Prevention & Intervention in the Community","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperlipidemia; Medicine; Environmental health; Population; Gerontology; Demography; Endocrinology; Diabetes mellitus","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01320684,0.0001501693,0.000421791,0.0006850746,0.0002389728,0.00007279874,0.0005328118,0.0001109786,0.00005849949],"category_scores_gemma":[0.001361312,0.0000911586,0.0008923976,0.0008639104,0.00008011096,0.0002601644,0.00006616572,0.001949583,0.000001922723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001764637,"about_ca_system_score_gemma":0.00002561967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02885895,"about_ca_topic_score_gemma":0.0105433,"domain_scores_codex":[0.9895874,0.008658994,0.001074203,0.00008172764,0.0004302871,0.0001674185],"domain_scores_gemma":[0.9978747,0.0006348062,0.0007043814,0.0005764536,0.0001758902,0.00003381156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004058294,0.00270761,0.9224534,0.0004532908,0.0007557336,0.0000162727,0.01201402,0.00216809,0.00001888984,0.0001946485,0.001075178,0.05773702],"study_design_scores_gemma":[0.002205669,0.000342486,0.9702768,0.001829861,0.0003514349,0.00001648418,0.01621199,0.0002809828,0.00005401553,0.007662389,0.0006967924,0.00007113999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959168,0.0006404588,0.001966349,0.0003760557,0.0003120092,0.0005332365,0.000005692656,0.00001180444,0.0002375811],"genre_scores_gemma":[0.9991398,0.0002279781,0.00009730089,0.00016206,0.00005973548,0.00001798787,0.0001126643,0.000009438961,0.0001730275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05766588,"threshold_uncertainty_score":0.977608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454605342309551,"score_gpt":0.3224906371646213,"score_spread":0.2779445837415259,"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."}}