{"id":"W3216369407","doi":"10.1016/j.kint.2021.10.033","title":"GLP-1 receptor agonist versus DPP-4 inhibitor and kidney and cardiovascular outcomes in clinical practice in type-2 diabetes","year":2021,"lang":"en","type":"article","venue":"Kidney International","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"National Key Research and Development Program of China; Vetenskapsrådet; Hjärt-Lungfonden; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Natural Science Foundation of China","keywords":"Medicine; Hazard ratio; Internal medicine; Renal function; Mace; Dipeptidyl peptidase-4; Kidney disease; Type 2 diabetes; Sitagliptin; Myocardial infarction; Lixisenatide; Diabetes mellitus; Endocrinology; Confidence interval; Percutaneous coronary intervention; Liraglutide","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004625269,0.0001321037,0.0003487878,0.0001224216,0.00002085864,0.00005754635,0.00005561579,0.00007912929,0.0001874748],"category_scores_gemma":[0.006227451,0.0001219982,0.0001028487,0.0001273,0.00006634239,0.000181382,0.0001420323,0.0001715351,0.000030417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008604465,"about_ca_system_score_gemma":0.0001641604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004826984,"about_ca_topic_score_gemma":0.00001547493,"domain_scores_codex":[0.9987386,0.00008407012,0.0003328933,0.0003531634,0.000318879,0.0001723244],"domain_scores_gemma":[0.9991108,0.0002706366,0.00005175983,0.0001949481,0.0001178408,0.0002540827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003254226,0.0006997219,0.9292197,0.00007092721,0.002573323,0.0002622167,0.0001628052,0.000001282307,0.0001430594,0.000763709,0.03282567,0.03295217],"study_design_scores_gemma":[0.00942343,0.0002151515,0.1837545,0.000180964,0.0002987381,0.000005072152,0.0001815422,0.0001210073,0.000300795,0.00003563179,0.805328,0.0001551772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329027,0.002478523,0.000004130394,0.03738142,0.00367129,0.000373793,0.00005777488,0.00003689289,0.0230935],"genre_scores_gemma":[0.9625278,0.005849851,0.01038971,0.01269789,0.0008054693,0.00008834941,0.0007099862,0.00005079785,0.006880177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7725023,"threshold_uncertainty_score":0.745529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215342809419996,"score_gpt":0.3214877594713957,"score_spread":0.2999534785293961,"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."}}