{"id":"W2892394127","doi":"10.1016/j.cjca.2018.07.221","title":"SEMAGLUTIDE CONSISTENTLY REDUCES CARDIOVASCULAR RISK IN PATIENTS WITH TYPE 2 DIABETES REGARDLESS OF BASELINE CARDIOVASCULAR RISK LEVEL: POST HOC ANALYSES OF THE SUSTAIN TRIAL PROGRAM","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Semaglutide; Post-hoc analysis; Type 2 diabetes; Baseline (sea); Diabetes mellitus; Post hoc; Internal medicine; Physical therapy; Endocrinology; Liraglutide","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003116445,0.001685319,0.004212135,0.0002790207,0.0005243714,0.001428653,0.0008280878,0.0009225036,0.004512677],"category_scores_gemma":[0.003636797,0.0006357927,0.003430822,0.0004584402,0.0009710458,0.001423556,0.0007903407,0.002519159,0.0006653506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005751213,"about_ca_system_score_gemma":0.001328597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905569,"about_ca_topic_score_gemma":0.004925705,"domain_scores_codex":[0.9984946,0.0009175419,0.00008789894,0.0002244574,0.0001094833,0.000165967],"domain_scores_gemma":[0.9980275,0.0006598168,0.0003897323,0.0004048307,0.0001528279,0.0003651417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.9757092,0.002173485,0.006401939,0.0001603561,0.004497399,0.00004203882,0.00004622922,0.0003588381,0.0008609801,0.00009876473,0.001429432,0.00822138],"study_design_scores_gemma":[0.7597094,0.1476342,0.07393049,0.00008373427,0.01237766,0.0001292092,0.0002423907,0.001994647,0.001157781,0.0005531587,0.002108298,0.00007918674],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948992,0.001212074,0.0002479393,0.0004699447,0.0001860568,0.0002759687,0.001236524,0.00008467362,0.00138768],"genre_scores_gemma":[0.9944288,0.0006218322,0.000579003,0.0003692668,0.0003159784,0.0004380467,0.001631318,0.00004011208,0.001575853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004512677,"threshold_uncertainty_score":0.01648152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293209088248603,"score_gpt":0.2548703085423416,"score_spread":0.2319382176598555,"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."}}