{"id":"W2398648053","doi":"10.1097/00008571-200206000-00007","title":"Effect of apolipoprotein E, peroxisome proliferator-activated receptor alpha and lipoprotein lipase gene mutations on the ability of fenofibrate to improve lipid profiles and reach clinical guideline targets among hypertriglyceridemic patients.","year":2002,"lang":"en","type":"article","venue":"Pharmacogenetics","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; Université Laval; McGill University Health Centre; Université de Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Fenofibrate; Internal medicine; Endocrinology; Lipoprotein lipase; Hypertriglyceridemia; Apolipoprotein B; Apolipoprotein E; Triglyceride; Cholesterol; Chemistry; Biology; Medicine; Adipose tissue","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070436,0.000222455,0.0003779826,0.0003158705,0.0002054033,0.0003667911,0.0001756549,0.0003846991,0.0007795109],"category_scores_gemma":[0.002037065,0.0001496625,0.0005038252,0.0003025731,0.0002498452,0.000167207,0.000148151,0.0002948143,0.0001305169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000279146,"about_ca_system_score_gemma":0.0002125946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602679,"about_ca_topic_score_gemma":0.002278292,"domain_scores_codex":[0.9995098,0.0002195429,0.00005323991,0.00009281177,0.00007180656,0.00005273454],"domain_scores_gemma":[0.9989183,0.0004859031,0.0003090161,0.00006211895,0.00007096149,0.0001537099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01555138,0.0004715936,0.9697365,0.00003870599,0.000465301,0.0006061546,0.0001414677,0.0001302762,0.003861692,0.00002584089,0.0000951527,0.008875917],"study_design_scores_gemma":[0.0001247679,0.002170543,0.9954791,0.00000479653,0.0002142812,0.0006986847,0.0001079787,0.0002590709,0.0007489086,0.00002008407,0.0001660829,0.00000555759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995831,0.0002629693,0.00001477541,0.00001325402,0.000002405807,0.000002257515,0.00001900669,9.920414e-7,0.0001012447],"genre_scores_gemma":[0.9997936,0.00006298454,0.00003334242,0.00001323023,0.000003382209,0.000002075324,0.00003045745,7.183133e-7,0.0000602535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001602679,"threshold_uncertainty_score":0.003725052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358740378354834,"score_gpt":0.2845200745164088,"score_spread":0.2709326707328605,"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."}}