{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581174,0.0003271396,0.000405081,0.0001835622,0.0002206345,0.0003171805,0.0005725635,0.000442008,0.0005792091],"category_scores_gemma":[0.0004040498,0.0001783602,0.0002092788,0.0002106309,0.0002223841,0.0001997834,0.0003124883,0.0003448359,0.0001102739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004006749,"about_ca_system_score_gemma":0.0001660584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136236,"about_ca_topic_score_gemma":0.001313714,"domain_scores_codex":[0.9998608,0.00002984988,0.000008753381,0.00003490883,0.00003849442,0.00002726728],"domain_scores_gemma":[0.9998851,0.00003904233,0.00002467079,0.0000103212,0.00002221902,0.00001866636],"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":[0.0009176197,0.0001835277,0.002810918,0.0006196335,0.0001535665,0.0003980881,0.0002972841,0.009822537,0.9753128,0.001249887,0.0003185879,0.007915554],"study_design_scores_gemma":[0.0000886277,0.001749313,0.004571076,0.00002609126,0.0001001162,0.0002950352,0.0001642136,0.03795069,0.9513654,0.0003874247,0.003269138,0.00003289467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974127,0.0008981847,0.001059274,0.00003138522,0.000005823437,0.000009821922,0.0000323621,0.00001545995,0.0005349097],"genre_scores_gemma":[0.9978668,0.0003922781,0.001241346,0.00001286202,0.000003771386,0.000009240157,0.00007887739,0.000004763802,0.000389896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136236,"threshold_uncertainty_score":0.002907157,"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."}}