{"id":"W2889059090","doi":"10.2337/dc17-2280","title":"Glucagon-Like Peptide 1 Receptor Agonists and the Risk of Incident Diabetic Retinopathy","year":2018,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University; Women's College Hospital; Toronto General Hospital; University of Toronto; Jewish General Hospital","funders":"Canadian Institutes of Health Research; McGill University; Heart and Stroke Foundation of Canada","keywords":"Medicine; Diabetic retinopathy; Diabetes mellitus; Internal medicine; Retinopathy; Hazard ratio; Insulin; Type 2 diabetes; Cohort; Glucagon-like peptide-1; Cohort study; Glucagon-like peptide 1 receptor; Population; Endocrinology; Proportional hazards model; Receptor; Confidence interval; Agonist","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":[0.0008776711,0.0001984088,0.0002639173,0.0005070355,0.0001849437,0.0006912832,0.0002843149,0.0003449326,0.001476678],"category_scores_gemma":[0.003306414,0.0002435747,0.0006563791,0.0008532587,0.0001389101,0.0002621293,0.0002946375,0.0007900121,0.0002016048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900049,"about_ca_system_score_gemma":0.0003392251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003582021,"about_ca_topic_score_gemma":0.003273483,"domain_scores_codex":[0.9994352,0.0001157443,0.00006121029,0.0001774721,0.0001323197,0.00007793457],"domain_scores_gemma":[0.997058,0.000507888,0.001839857,0.0001558931,0.0002076266,0.0002307595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003638341,0.00004620795,0.9971377,0.00002415516,0.0001559718,0.00004057386,0.00001340733,0.00007530436,0.0001234114,0.00001012532,0.00007974536,0.001929632],"study_design_scores_gemma":[0.00002255461,0.00013139,0.9988167,0.00001427392,0.0001065787,0.0002653805,0.00002701973,0.0003260658,0.0000795111,0.0000276713,0.0001786705,0.000004207232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963279,0.00186388,0.0002109648,0.0000963503,0.00002015095,0.00001098462,0.0007748316,0.0000118228,0.0006830087],"genre_scores_gemma":[0.9987955,0.0004587617,0.000176183,0.00003403393,0.00002022105,0.000005919526,0.0003082092,0.000002148866,0.000198906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003582021,"threshold_uncertainty_score":0.007122338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00569002845046418,"score_gpt":0.2205583497937259,"score_spread":0.2148683213432618,"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."}}