{"id":"W4200481930","doi":"10.37765/ajmc.2021.88806","title":"ACE inhibitor or ARB treatment among patients with diabetes and chronic kidney disease","year":2021,"lang":"en","type":"article","venue":"The American Journal of Managed Care","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Medicine, University of Toronto; Canadian Institutes of Health Research; AstraZeneca; Bayer; University of Toronto; Diabetes Canada","keywords":"Medicine; Kidney disease; Internal medicine; Albuminuria; Retrospective cohort study; Cohort; Type 2 diabetes; Diabetes mellitus; Renal function; Intensive care medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006245221,0.0001825382,0.0003983072,0.00008085543,0.00009312076,0.00004333405,0.00008268347,0.000009590567,0.00004204963],"category_scores_gemma":[0.00004766921,0.00008864869,0.0001060626,0.0002304648,0.0002298607,0.00009333968,0.00006014127,0.0001028435,0.000002984135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002573473,"about_ca_system_score_gemma":0.0001778476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000488838,"about_ca_topic_score_gemma":0.00001365055,"domain_scores_codex":[0.9990289,0.00009104511,0.0001885046,0.0001635958,0.0002985726,0.0002294129],"domain_scores_gemma":[0.9988539,0.00005595666,0.0002759153,0.0002940928,0.0001674804,0.0003527083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001254495,0.0004496593,0.8354384,0.0002080501,0.001748031,0.0006659804,0.001068522,0.00002527768,0.00005006646,0.00001497131,0.001855245,0.1572213],"study_design_scores_gemma":[0.006975153,0.007919848,0.965443,0.0006953164,0.003124875,0.000004815616,0.004635192,0.00001741194,0.0005882509,0.00001402249,0.01038161,0.0002005302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960793,0.001409285,0.000006179297,0.001816454,0.00007240352,0.0002991029,0.00001427057,0.0000142313,0.0002887363],"genre_scores_gemma":[0.9975143,0.000335036,0.0002036396,0.0007191269,0.000154267,0.00001498607,0.00003003062,0.00002524751,0.001003388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1570208,"threshold_uncertainty_score":0.3614989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004893490047993276,"score_gpt":0.2162674571328084,"score_spread":0.2113739670848152,"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."}}