{"id":"W4415789411","doi":"10.1161/circ.152.suppl_3.4371293","title":"Abstract 4371293: Missed Opportunities for Cardiovascular Prevention in the United States: A Simulation-Based Analysis Using NHANES 2021–2022","year":2025,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Atherosclerotic cardiovascular disease; Poverty; Cardiovascular health; Canadian Cardiovascular Society; Young adult; Demographics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004302835,0.0007103975,0.0007959915,0.0008200555,0.0005007471,0.0008438408,0.001129001,0.001101461,0.004039309],"category_scores_gemma":[0.007528509,0.0006260002,0.002344874,0.0007985469,0.0004010928,0.0007158714,0.0007489838,0.001471898,0.0003777663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212659,"about_ca_system_score_gemma":0.002569356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1148935,"about_ca_topic_score_gemma":0.06078361,"domain_scores_codex":[0.9989524,0.0006709933,0.00003935122,0.0001320939,0.0000655195,0.0001397388],"domain_scores_gemma":[0.9942015,0.004255769,0.0004652949,0.0003035813,0.0004440635,0.0003296997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001612388,0.0009578141,0.2024099,0.000134775,0.001165668,0.0003450548,0.0001559542,0.7799687,0.0002143195,0.00262276,0.006457518,0.003955252],"study_design_scores_gemma":[0.0004254867,0.0002850791,0.03442815,0.00005975337,0.0002192895,0.00007412001,0.0002036615,0.9618729,0.0001433835,0.001355784,0.0008930724,0.00003934078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840022,0.000206703,0.003700081,0.0007123011,0.00004443437,0.0001468169,0.008931404,0.0001230054,0.002132977],"genre_scores_gemma":[0.9890916,0.0001001033,0.002005388,0.0001649018,0.00002235213,0.0001897194,0.007889057,0.00002096141,0.0005158221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1148935,"threshold_uncertainty_score":0.2284494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09549225493697377,"score_gpt":0.3496837730429433,"score_spread":0.2541915181059695,"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."}}