{"id":"W2125923881","doi":"10.1016/s0149-2918(07)80089-0","title":"A Model for Assessing the Cost-Effectiveness of Atorvastatin and Simvastatin in Achieving Canadian Low-Density Lipoprotein Cholesterol Targets","year":2007,"lang":"en","type":"article","venue":"Clinical Therapeutics","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McMaster University; Pfizer (Canada); Université de Montréal","funders":"","keywords":"Atorvastatin; Medicine; Simvastatin; Statin; Dosing; Cohort; Internal medicine; Population; Cost effectiveness; Pharmacology; Cholesterol; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005654804,0.002183621,0.004214525,0.002794059,0.001405214,0.003491007,0.004284079,0.005577349,0.01384418],"category_scores_gemma":[0.01599092,0.001479011,0.002582933,0.002830845,0.00180153,0.001763545,0.00145365,0.003676274,0.0007292618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0192507,"about_ca_system_score_gemma":0.01626159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5655669,"about_ca_topic_score_gemma":0.3216584,"domain_scores_codex":[0.9978529,0.001018278,0.00006043337,0.0002629052,0.0001878906,0.0006175945],"domain_scores_gemma":[0.9904599,0.007839292,0.0003749492,0.0001318478,0.0006816831,0.0005123332],"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":[0.00102149,0.0001231764,0.002261782,0.0001114191,0.0002329724,0.0001140179,0.0000351178,0.9748891,0.0001389311,0.01285322,0.002345262,0.005873417],"study_design_scores_gemma":[0.0006903497,0.0001839528,0.001521331,0.00003416735,0.0002957408,0.00007787983,0.00005987677,0.9889653,0.00007207332,0.006643442,0.00141259,0.00004324525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.631613,0.006680056,0.2380089,0.02318413,0.0007505665,0.002300383,0.03416789,0.001462574,0.06183265],"genre_scores_gemma":[0.9490707,0.001403587,0.02839009,0.0006527334,0.0001103302,0.0008694949,0.003532147,0.00007685404,0.01589414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4344331,"threshold_uncertainty_score":0.8739831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121122756256884,"score_gpt":0.4286864452389834,"score_spread":0.3075636889820993,"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."}}