{"id":"W2506225517","doi":"10.1007/s00125-016-4066-5","title":"ANGPTL2 is associated with an increased risk of cardiovascular events and death in diabetic patients","year":2016,"lang":"en","type":"article","venue":"Diabetologia","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Daiichi Sankyo Europe; Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Poitiers; Université de Poitiers; Institut de Cardiologie de Montréal; Servier; Daiichi-Sankyo; Institut National de la Santé et de la Recherche Médicale; Novo Nordisk; Sanofi","keywords":"Mace; Medicine; Internal medicine; Myocardial infarction; Diabetes mellitus; Type 2 diabetes; Cohort; Clinical endpoint; Cause of death; Risk factor; Prospective cohort study; Surgery; Disease; Endocrinology; Randomized controlled trial","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004333954,0.000376869,0.0005580841,0.0005373808,0.0003066468,0.0008480404,0.0002952314,0.0005079691,0.001704847],"category_scores_gemma":[0.001036848,0.000324046,0.0007316801,0.0009226878,0.0001834554,0.0002883872,0.0002905509,0.001208211,0.0002073998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682802,"about_ca_system_score_gemma":0.0002107058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138506,"about_ca_topic_score_gemma":0.001596616,"domain_scores_codex":[0.9996061,0.0001289483,0.00005058264,0.00007306956,0.00009096152,0.00005044856],"domain_scores_gemma":[0.9989632,0.0001831545,0.0005458324,0.00005347176,0.00007676991,0.0001774192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001800506,0.0001541637,0.9873653,0.00006928799,0.0006055749,0.0008968867,0.00004988495,0.00009379038,0.002957844,0.00009591424,0.000382014,0.005528724],"study_design_scores_gemma":[0.00006126646,0.0001335337,0.9959337,0.0000188061,0.00038738,0.001665603,0.00006272282,0.0007123395,0.0003665594,0.0001417766,0.0005031246,0.00001324627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943639,0.00287704,0.000465954,0.0002327695,0.00006482702,0.000007552491,0.0004796258,0.0000221968,0.001486109],"genre_scores_gemma":[0.9976118,0.0006419127,0.0004491151,0.0001819438,0.000112282,0.000009072443,0.0003878651,0.000007471947,0.0005985978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001704847,"threshold_uncertainty_score":0.00570327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008351202991512686,"score_gpt":0.2126646664594469,"score_spread":0.2043134634679342,"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."}}