{"id":"W2131185328","doi":"10.2337/db10-0552","title":"Candesartan Attenuates Diabetic Retinal Vascular Pathology by Restoring Glyoxalase-I Function","year":2010,"lang":"en","type":"article","venue":"Diabetes","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute; Medical Research Council; Kidney Health Australia; Monash University; Diabetes Australia; National Institutes of Health; Diabetes Australia Research Trust; National Health and Medical Research Council; McMaster University; AstraZeneca; Eli Lilly and Company","keywords":"Candesartan; Retinal; Diabetic retinopathy; Angiotensin II; Methylglyoxal; Endocrinology; Internal medicine; Retina; Medicine; Biology; Pharmacology; Diabetes mellitus; Receptor; Ophthalmology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195607,0.0003774634,0.0004220471,0.0001960869,0.0001638192,0.0002362164,0.0003699788,0.0002592301,0.001478416],"category_scores_gemma":[0.0001712443,0.0000793693,0.0002144606,0.00009047551,0.0002132892,0.0001835118,0.0001002926,0.0009490096,0.0003033581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896122,"about_ca_system_score_gemma":0.0003869187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000744622,"about_ca_topic_score_gemma":0.001307754,"domain_scores_codex":[0.9999212,0.000007957659,0.00000747255,0.00001521347,0.00001934714,0.00002884054],"domain_scores_gemma":[0.9998741,0.0000092815,0.00003215287,0.00001043069,0.00001438556,0.0000595365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005324572,0.001191797,0.0005859867,0.0001818645,0.00004735399,0.0001184575,0.00001895489,0.000187878,0.9789882,0.0001503913,0.0004693935,0.01273511],"study_design_scores_gemma":[0.002114424,0.01755832,0.02386113,0.00006411813,0.0002130359,0.0006375352,0.0001355314,0.002972958,0.9441248,0.0002529248,0.008036423,0.00002881472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935189,0.00243785,0.0008868129,0.0002197321,0.0001413177,0.00003912132,0.0002796991,0.0002177831,0.002258776],"genre_scores_gemma":[0.9936519,0.00182902,0.001632219,0.0001554965,0.00006308569,0.0000526543,0.0003504002,0.00002343948,0.002241656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001478416,"threshold_uncertainty_score":0.004945755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007165319065242027,"score_gpt":0.2514942364625786,"score_spread":0.2443289173973366,"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."}}