{"id":"W3012488719","doi":"10.1093/eurheartj/ehaa078","title":"Triglyceride reduction in secondary atherosclerotic cardiovascular disease prevention: core concepts in contemporary therapeutic targeting","year":2020,"lang":"en","type":"letter","venue":"European Heart Journal","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Medicine; Atherosclerotic cardiovascular disease; Secondary prevention; Disease; Internal medicine; Cardiology; Reduction (mathematics); Core (optical fiber); Intensive care medicine","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":[0.004003608,0.0006549403,0.002154118,0.000502903,0.001415627,0.003457867,0.00105734,0.01402736,0.003349196],"category_scores_gemma":[0.01375372,0.0002701732,0.0007107381,0.00058028,0.00401591,0.004045252,0.001216353,0.02668409,0.001676897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185864,"about_ca_system_score_gemma":0.002211388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005691503,"about_ca_topic_score_gemma":0.00118477,"domain_scores_codex":[0.9979529,0.0006756161,0.0002603927,0.0002763231,0.0006931496,0.0001416328],"domain_scores_gemma":[0.989865,0.007682478,0.00041724,0.0002491828,0.001208285,0.0005777596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000597474,0.0003463995,0.00133599,0.001192819,0.00008666811,0.004028933,0.0003869159,0.0005687298,0.001231497,0.07154733,0.6399643,0.2787131],"study_design_scores_gemma":[0.0006568497,0.000371463,0.001757511,0.002416544,0.0000999022,0.004782572,0.0004118355,0.001695071,0.0007007917,0.1422257,0.844784,0.00009777503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006276022,0.04353452,0.0007680381,0.9385031,0.0123773,0.0000115353,0.0000230557,0.00002198692,0.00413284],"genre_scores_gemma":[0.02086612,0.07396592,0.003236244,0.6496909,0.2486796,0.00009416046,0.00004754481,0.00003357814,0.003386016],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01402736,"threshold_uncertainty_score":0.02117342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068682065633125,"score_gpt":0.3197909326109447,"score_spread":0.2129227260476322,"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."}}