{"id":"W4310675790","doi":"10.3389/fpls.2022.1049681","title":"Proteome-wide analysis of hydrogen peroxide-induced protein carbonylation in Arabidopsis thaliana","year":2022,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Biochemical effects in animals","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation de l’UQTR; Université du Québec à Trois-Rivières","keywords":"Arabidopsis thaliana; Proteome; Hydrogen peroxide; Carbonylation; Protein Carbonylation; Chemistry; Arabidopsis; Biology; Botany; Biochemistry; Gene; Enzyme; Mutant; Catalysis; Oxidative damage","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":[0.0001579151,0.0004005549,0.0003256773,0.0008404949,0.0003075685,0.0002552506,0.0001833295,0.0002811076,0.0006675899],"category_scores_gemma":[0.0001045325,0.0001114257,0.0003339104,0.0008227399,0.0001281084,0.0001689544,0.0001707594,0.0002615801,0.0002434138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998144,"about_ca_system_score_gemma":0.0002304402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280406,"about_ca_topic_score_gemma":0.001733237,"domain_scores_codex":[0.9999065,0.000004877885,0.00000461555,0.00004881033,0.00002121089,0.00001395399],"domain_scores_gemma":[0.9998965,0.000009176995,0.00003745376,0.000005821038,0.00002727976,0.00002374187],"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":[0.0001792411,0.00001901997,0.003923255,0.0001401852,0.00004725823,0.00008074461,0.00003181305,0.00004260119,0.9934005,0.00001734095,0.0001662053,0.001951869],"study_design_scores_gemma":[0.00004066879,0.0004588632,0.7411409,0.00002938642,0.0003150556,0.001428049,0.0002118805,0.002248502,0.2474137,0.0001816007,0.006497774,0.00003357869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846036,0.003682276,0.002185057,0.00008514671,0.00003015866,0.00003549778,0.008624469,0.0001537594,0.0005999834],"genre_scores_gemma":[0.974176,0.002097271,0.006331872,0.0001693796,0.00003299055,0.00007859529,0.0155137,0.00005183874,0.001548345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001280406,"threshold_uncertainty_score":0.002545953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342522410519691,"score_gpt":0.2511535834821239,"score_spread":0.237728359376927,"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."}}