{"id":"W4391105692","doi":"10.3390/antiox13010127","title":"Using Redox Proteomics to Gain New Insights into Neurodegenerative Disease and Protein Modification","year":2024,"lang":"en","type":"article","venue":"Antioxidants","topic":"Redox biology and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Universidad de Granada","keywords":"Proteomics; Oxidative stress; Chemistry; Proteome; Biochemistry; Reactive oxygen species; Reactive nitrogen species; Oxidative phosphorylation; Cysteine; Protein Carbonylation; Antioxidant; Peroxiredoxin; Lipid peroxidation; 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":[0.0009726342,0.001046075,0.001148261,0.002261229,0.0003663597,0.001311866,0.000634849,0.001473074,0.001678338],"category_scores_gemma":[0.0006045719,0.0003422528,0.0009340761,0.00163885,0.0007493348,0.002749067,0.0009730583,0.001943463,0.001188545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007090191,"about_ca_system_score_gemma":0.0006356337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005820975,"about_ca_topic_score_gemma":0.0006066686,"domain_scores_codex":[0.9996113,0.00007828742,0.0000296385,0.0001084062,0.0001272138,0.00004505484],"domain_scores_gemma":[0.9997528,0.00006510765,0.00003702851,0.00002278153,0.00009063627,0.00003149512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003142734,0.0001998583,0.003603073,0.01684904,0.0004914355,0.001972431,0.0005832019,0.001199723,0.3905851,0.0316983,0.02642503,0.5260785],"study_design_scores_gemma":[0.00003830717,0.000528433,0.01015153,0.002113375,0.0005271472,0.007913908,0.0006113828,0.003867387,0.161318,0.03642888,0.7762809,0.0002206907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01173923,0.9398276,0.0350062,0.004001115,0.001944262,0.00005152634,0.0004453171,0.0003738133,0.006610939],"genre_scores_gemma":[0.0513547,0.9050425,0.03125391,0.003182065,0.002394799,0.00008455147,0.0008225919,0.00007226307,0.005792511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002261229,"threshold_uncertainty_score":0.005614638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677720906723093,"score_gpt":0.3093607319601627,"score_spread":0.2825835228929318,"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."}}