{"id":"W2056949626","doi":"10.1155/2014/789356","title":"Structural Characterization of Amadori Rearrangement Product of Glucosylated N<sup><i>α</i></sup>-Acetyl-Lysine by Nuclear Magnetic Resonance Spectroscopy","year":2014,"lang":"en","type":"article","venue":"International Journal of Spectroscopy","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"University of Hong Kong","keywords":"Amadori rearrangement; Maillard reaction; Nuclear magnetic resonance spectroscopy; Two-dimensional nuclear magnetic resonance spectroscopy; DEPT; Chemistry; Nuclear Overhauser effect; Spectroscopy; Lysine; Proton NMR; Stereochemistry; Amino acid; Organic chemistry; Glycation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001189451,0.0005114271,0.0001834971,0.0002465441,0.0001422798,0.0002431457,0.0002503211,0.0002971046,0.001134904],"category_scores_gemma":[0.0002664718,0.0001090095,0.0002812556,0.0003289014,0.0001971361,0.0003565815,0.000142696,0.0003652821,0.0003463607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186302,"about_ca_system_score_gemma":0.0001616108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000584512,"about_ca_topic_score_gemma":0.0004745147,"domain_scores_codex":[0.999884,0.0000155517,0.000005729965,0.00003690707,0.00003132756,0.00002647799],"domain_scores_gemma":[0.9998046,0.00002295218,0.00008240591,0.00001132749,0.00004848081,0.00003026024],"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":[0.00008415432,0.00001142998,0.0003461685,0.00005600244,0.000006144084,0.0002109865,0.00004483465,0.0001068716,0.9970843,0.00009210437,0.00003960427,0.001917327],"study_design_scores_gemma":[0.000005811003,0.0002666397,0.004201398,0.000008178823,0.00002076649,0.0003250223,0.00007277918,0.000791718,0.992082,0.00009739144,0.002109112,0.00001913728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983618,0.001753174,0.0104125,0.00009600986,0.00003183336,0.00003330493,0.001004232,0.00006977409,0.00298113],"genre_scores_gemma":[0.9839266,0.001310097,0.009966218,0.0001064472,0.00002041849,0.0000355289,0.002034539,0.00005859513,0.002541645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001134904,"threshold_uncertainty_score":0.003796637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005839647251745508,"score_gpt":0.2688781817376383,"score_spread":0.2630385344858928,"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."}}