{"id":"W3128725986","doi":"10.3390/antiox10020208","title":"Complexes of Copper and Iron with Pyridoxamine, Ascorbic Acid, and a Model Amadori Compound: Exploring Pyridoxamine’s Secondary Antioxidant Activity","year":2021,"lang":"en","type":"article","venue":"Antioxidants","topic":"Free Radicals and Antioxidants","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Denticity; Ascorbic acid; Amadori rearrangement; Antioxidant; Copper; Pyridoxamine; Reaction rate constant; Chelation; Stability constants of complexes; Stereochemistry; Aqueous solution; Medicinal chemistry; Nuclear chemistry; Inorganic chemistry; Crystallography; Organic chemistry; Kinetics; Crystal structure; Glycation; Biochemistry; Receptor; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001969837,0.0005306304,0.000903962,0.0001305235,0.0002640022,0.0001269266,0.0002302743,0.0001847797,0.0001562579],"category_scores_gemma":[0.00006311703,0.0004856274,0.000115399,0.0002803957,0.0006462129,0.0007129524,0.0002943935,0.0004706933,0.000005633435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004013487,"about_ca_system_score_gemma":0.0001928627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000159686,"about_ca_topic_score_gemma":0.0002124818,"domain_scores_codex":[0.997307,0.00005667877,0.0005424257,0.0009139963,0.0005318751,0.0006480332],"domain_scores_gemma":[0.9984362,0.0001506509,0.0003019905,0.000632958,0.0001808341,0.0002974152],"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":[0.0001704789,0.0003818682,0.02129095,0.001003942,0.0001398579,0.0002293561,0.0002334493,0.00005114315,0.9680744,0.0004309383,0.0001447889,0.007848841],"study_design_scores_gemma":[0.003470372,0.000153183,0.1440688,0.0009998033,0.0001580324,0.0006361169,0.0005960289,0.008496959,0.8399511,0.0002550433,0.0003319088,0.0008826611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937869,0.00214558,0.0004139465,0.0001575128,0.00008575479,0.000122546,0.0002256552,0.0001177608,0.002944369],"genre_scores_gemma":[0.995077,0.002042585,0.002046545,0.00008059251,0.0001044782,0.00002416405,0.00002355737,0.00008572063,0.0005153256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1281233,"threshold_uncertainty_score":0.9997596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863282263801465,"score_gpt":0.2357614692689174,"score_spread":0.2071286466309027,"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."}}