{"id":"W2066778628","doi":"10.1016/j.cjca.2012.08.015","title":"Serum Advanced Glycation End-Products and Receptors as Prognostic Biomarkers in Diabetics Undergoing Coronary Artery Stent Implantation","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Microalbuminuria; Albuminuria; Internal medicine; Percutaneous coronary intervention; Glycation; Urology; Endocrinology; Gastroenterology; Diabetes mellitus; Renal function; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004696825,0.0001060845,0.0001704824,0.0002137932,0.00006065889,0.00001111854,0.0001006724,0.0001057049,0.000006626291],"category_scores_gemma":[0.0008470394,0.0001077533,0.00003204754,0.000139461,0.0001257086,0.00002992133,0.00001912564,0.0001393764,0.000003891619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009824226,"about_ca_system_score_gemma":0.0007567743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002765838,"about_ca_topic_score_gemma":0.0003737836,"domain_scores_codex":[0.9988994,0.0001990942,0.0002638895,0.0001731505,0.00008827508,0.0003761683],"domain_scores_gemma":[0.9991663,0.00005717119,0.0001314838,0.000153884,0.0001959406,0.0002952031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002831887,0.0000109247,0.7775792,0.0000877837,0.0003227554,0.00007086984,0.0004042473,0.003309953,0.1276574,0.0001807461,0.001329474,0.08876347],"study_design_scores_gemma":[0.002152418,0.001256381,0.854018,0.00009689153,0.00007486583,0.004612373,0.001592126,0.000009941003,0.04365068,0.0005359377,0.09150527,0.0004950623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932765,0.003928569,0.0007261442,0.0007462726,0.0007353369,0.00019141,0.00001141077,0.000001919586,0.0003824078],"genre_scores_gemma":[0.9977887,0.0008463283,0.0006667486,0.0000782436,0.0004790934,0.000006745675,0.0000618252,0.00001570763,0.00005666962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09017579,"threshold_uncertainty_score":0.4394051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357328470070308,"score_gpt":0.2625972619225835,"score_spread":0.2490239772218804,"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."}}