{"id":"W4405414154","doi":"10.1016/j.jacl.2024.12.003","title":"Exploring the impact of insurance switching on the cost-effectiveness of population genetic screening for familial hypercholesterolemia to US payers","year":2024,"lang":"en","type":"article","venue":"Journal of clinical lipidology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; U.S. Department of Health and Human Services; Muscular Dystrophy Canada; National Institutes of Health; Bristol-Myers Squibb; AstraZeneca","keywords":"Medicine; Population; Actuarial science; Quality-adjusted life year; Life insurance; Cost effectiveness; Quality of life (healthcare); Genetic testing; Environmental health; Business; Risk analysis (engineering)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005141077,0.0004206678,0.0006010543,0.0006463844,0.0005357693,0.001730839,0.000874811,0.001632344,0.006028566],"category_scores_gemma":[0.03256513,0.0002701439,0.002706778,0.0008725625,0.0006666619,0.001272227,0.0009124859,0.001834789,0.0001910914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709687,"about_ca_system_score_gemma":0.001998159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502113,"about_ca_topic_score_gemma":0.02093113,"domain_scores_codex":[0.9962579,0.002329123,0.0001985061,0.0002333808,0.0002498065,0.0007313603],"domain_scores_gemma":[0.9822812,0.01346101,0.00231129,0.0005059866,0.0003392315,0.001101236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03400395,0.005829808,0.8463714,0.000344158,0.004723105,0.000682022,0.0006443395,0.03069899,0.0007212886,0.005201151,0.003245853,0.06753409],"study_design_scores_gemma":[0.00257861,0.01478121,0.9025462,0.0002414111,0.006302298,0.0006213685,0.00441639,0.0573511,0.0008291012,0.006894686,0.003328524,0.0001090308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943014,0.0006642917,0.0001486517,0.002450669,0.00004796594,0.00003673134,0.0005439913,0.000008671436,0.001797518],"genre_scores_gemma":[0.9991027,0.0001330652,0.00007475314,0.0002782971,0.00003109738,0.00001271256,0.0001671072,0.000001627242,0.0001986538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02502113,"threshold_uncertainty_score":0.04975098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2655037146005769,"score_gpt":0.4585594530722698,"score_spread":0.1930557384716929,"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."}}