{"id":"W2969100688","doi":"10.1002/prca.201900035","title":"Time‐Dependent Measurement of Nrf2‐Regulated Antioxidant Response to Ionizing Radiation Toward Identifying Potential Protein Biomarkers for Acute Radiation Injury","year":2019,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada","keywords":"Ionizing radiation; Superoxide dismutase; Acute Radiation Syndrome; Antioxidant; Biomarker; Glutathione; Medicine; Catalase; Radiation sickness; Downregulation and upregulation; Oxidative stress; Biology; Enzyme; Internal medicine; Biochemistry; Cell biology; Irradiation; Stem cell; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002998873,0.000407949,0.0002371364,0.0003632675,0.0001257372,0.0001874577,0.0002196432,0.0003111828,0.001402846],"category_scores_gemma":[0.0001737504,0.0001294383,0.0002393231,0.0002511432,0.0002252458,0.0002283346,0.0001590335,0.0003540215,0.0003965053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607982,"about_ca_system_score_gemma":0.0001342993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002005753,"about_ca_topic_score_gemma":0.0005322798,"domain_scores_codex":[0.9998868,0.0000173162,0.00000792826,0.00003950336,0.00003171624,0.00001672193],"domain_scores_gemma":[0.9998405,0.00001695497,0.00006707241,0.00001524454,0.00003189173,0.00002820222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009372346,0.00001411656,0.0004623107,0.00002569772,0.000003917173,0.000006511215,0.000004639393,0.00001770389,0.9987884,0.00001116306,0.0000129051,0.0005589736],"study_design_scores_gemma":[0.000008689185,0.0007727592,0.03208342,0.00001372809,0.00003852687,0.0001975572,0.00003593745,0.0004985427,0.9652222,0.00008440779,0.00103512,0.000009056338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798527,0.003118403,0.01468318,0.00011003,0.00004560507,0.0000652888,0.001157753,0.0001443242,0.0008228362],"genre_scores_gemma":[0.9694254,0.003392873,0.02029855,0.0002162813,0.00003058576,0.0001603824,0.001894538,0.0000518844,0.004529451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402846,"threshold_uncertainty_score":0.004693031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508374272093485,"score_gpt":0.3306602646609672,"score_spread":0.3055765219400324,"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."}}