{"id":"W4319455962","doi":"10.1016/j.ijcard.2023.02.005","title":"Emerging markers of inflammation and oxidative stress as potential predictors of coronary artery disease","year":2023,"lang":"en","type":"article","venue":"International Journal of Cardiology","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Coronary artery disease; Internal medicine; Asymptomatic; Rage (emotion); Glycation; Diabetes mellitus; Oxidative stress; Biomarker; Inflammation; Cohort; Cardiology; Gastroenterology; Endocrinology; Biochemistry","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":[0.0002472148,0.00005715102,0.0001300046,0.0001677927,0.00001284466,0.000003437922,0.0001634132,0.00004257642,0.000009553431],"category_scores_gemma":[0.0004215676,0.00005333595,0.00007234455,0.0000576689,0.000129074,0.00001487226,0.00009943411,0.00006704106,9.679411e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000109025,"about_ca_system_score_gemma":0.0001059047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001159056,"about_ca_topic_score_gemma":3.272987e-7,"domain_scores_codex":[0.9991757,0.0001042522,0.0002925724,0.0001016243,0.0002477811,0.00007804506],"domain_scores_gemma":[0.9989805,0.0000354815,0.0002582739,0.00008652748,0.0005877235,0.00005149223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002523345,0.00001752354,0.08306301,0.00003535804,0.001136012,0.0001337671,0.00009457728,0.02620526,0.8710319,0.0001646687,0.0006772238,0.01491729],"study_design_scores_gemma":[0.00211386,0.001094484,0.6674085,0.0001101488,0.0001012073,0.0005780237,0.0008404109,0.0004702292,0.3160957,0.002058195,0.008923636,0.0002056736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963147,0.0002954047,0.002209212,0.000448569,0.0004602086,0.00005727357,0.00005934453,0.000002127939,0.0001531559],"genre_scores_gemma":[0.9980984,0.001064555,0.0001089719,0.000008322427,0.0005193806,0.000002015538,0.0001003599,0.000006368699,0.00009158801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5843455,"threshold_uncertainty_score":0.2174977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007961730684795845,"score_gpt":0.2966909601081521,"score_spread":0.2887292294233563,"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."}}