{"id":"W1964501359","doi":"10.1021/pr060019m","title":"Evaluation of D<sub>10</sub>-Leu Metabolic Labeling Coupled with MALDI−MS Analysis in Studying the Response of the Yeast Proteome to H<sub>2</sub>O<sub>2</sub> Challenge","year":2006,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Proteome; Yeast; Chemistry; Proteomics; Mass spectrometry; Biochemistry; Metabolic pathway; Metabolism; Chromatography; Gene","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":[0.0003009163,0.0006602514,0.0002672809,0.0001437985,0.00015012,0.0004337768,0.0002268817,0.0003181806,0.0005026914],"category_scores_gemma":[0.0002346749,0.0002116899,0.0001938631,0.0001885521,0.000258284,0.0001634208,0.0002401066,0.0003019768,0.0002488277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907241,"about_ca_system_score_gemma":0.0003187666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008101279,"about_ca_topic_score_gemma":0.002280622,"domain_scores_codex":[0.9998518,0.00003709793,0.00001599607,0.00003446292,0.00004227239,0.00001825936],"domain_scores_gemma":[0.9998266,0.00004587223,0.00003780161,0.00001651534,0.00003173016,0.00004151418],"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":[0.00004190954,0.000006334319,0.00009201226,0.00001062444,0.000001149888,0.00000982914,0.000003264785,0.00001597766,0.9995252,0.000004427802,0.000003941268,0.0002852527],"study_design_scores_gemma":[0.000006392544,0.0001145641,0.002198731,0.000001687437,0.000008579585,0.00007813125,0.000011808,0.0004109384,0.9968022,0.000006990204,0.0003569489,0.000002987523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870287,0.000634337,0.01119837,0.0001084719,0.0000293483,0.00005290806,0.0003531637,0.00007429317,0.0005204706],"genre_scores_gemma":[0.9439771,0.001349587,0.05141664,0.000148163,0.00001638972,0.0001154559,0.0009336414,0.00007676622,0.001966303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008101279,"threshold_uncertainty_score":0.002109349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05624282765951392,"score_gpt":0.3446395506995952,"score_spread":0.2883967230400812,"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."}}