{"id":"W2978226197","doi":"10.3390/ijms20194906","title":"Methylglyoxal and Glyoxal as Potential Peripheral Markers for MCI Diagnosis and Their Effects on the Expression of Neurotrophic, Inflammatory and Neurodegenerative Factors in Neurons and in Neuronal Derived-Extracellular Vesicles","year":2019,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Methylglyoxal; Neurotrophic factors; Neurotrophin; Internal medicine; Brain-derived neurotrophic factor; Rage (emotion); Endocrinology; Chemistry; Medicine; Neuroscience; Biology; Biochemistry; Receptor; Enzyme","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":[0.0003684477,0.0005319988,0.0003196589,0.0007082812,0.0001235131,0.0004030229,0.0001413148,0.0004379038,0.0003916722],"category_scores_gemma":[0.0003808708,0.0001410772,0.0003583403,0.0003453551,0.0002375995,0.0003229706,0.0002226718,0.0004070862,0.00009789241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319764,"about_ca_system_score_gemma":0.0001490447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006598287,"about_ca_topic_score_gemma":0.001206587,"domain_scores_codex":[0.9997668,0.00006949501,0.00001808344,0.00004653809,0.00007325855,0.00002574596],"domain_scores_gemma":[0.9997795,0.00003766633,0.00009295172,0.00001253375,0.00004199034,0.00003542516],"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":[0.003469876,0.0001686125,0.03625709,0.00069264,0.000226902,0.0005124099,0.0001146926,0.0002630744,0.9106119,0.0001962168,0.0001816414,0.0473049],"study_design_scores_gemma":[0.00009774796,0.004124256,0.2490617,0.0001294425,0.0005519088,0.003616127,0.000235972,0.005212126,0.7303385,0.0006331961,0.00592606,0.00007293931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947363,0.04646755,0.004278865,0.0001734383,0.0000734377,0.00004721878,0.0003343548,0.00007112567,0.001191023],"genre_scores_gemma":[0.9845927,0.006200329,0.007676627,0.0001019807,0.00005114443,0.0000448115,0.0002166237,0.000008122734,0.001107532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007082812,"threshold_uncertainty_score":0.001948535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114061170111796,"score_gpt":0.2787857287837198,"score_spread":0.2673796117725402,"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."}}