{"id":"W3005381132","doi":"10.1016/j.redox.2020.101453","title":"Tsg101 positively regulates P62-Keap1-Nrf2 pathway to protect hearts against oxidative damage","year":2020,"lang":"en","type":"article","venue":"Redox Biology","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Institute of Neurological Disorders and Stroke; American Heart Association","keywords":"TSG101; KEAP1; Gene knockdown; Downregulation and upregulation; Oxidative stress; Cell biology; Regulator; Autophagy; Ubiquitin; Biology; Cancer research; Medicine; Transcription factor; Gene; Internal medicine; Biochemistry; microRNA","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001397571,0.0003396092,0.0003881911,0.00005161534,0.0001184813,0.00002706136,0.0003812273,0.0003231539,0.00003565856],"category_scores_gemma":[0.0003607701,0.0003167705,0.0001536497,0.0001613421,0.0002298242,0.000006085894,0.0003806242,0.000201185,0.0001098076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002734102,"about_ca_system_score_gemma":0.0001011164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001881535,"about_ca_topic_score_gemma":0.00001355974,"domain_scores_codex":[0.997947,0.0002110003,0.0003368406,0.0008948727,0.00008282874,0.0005274321],"domain_scores_gemma":[0.9989418,0.00003083147,0.0001365416,0.0004039884,0.0001598767,0.0003269835],"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":[0.0002636698,0.0000472397,0.0009009962,0.00002049177,0.00009137393,0.000008590568,0.0002768367,0.00002620929,0.9939098,0.0001533449,0.001772095,0.002529289],"study_design_scores_gemma":[0.0005069819,0.0009513221,0.003135759,0.00001916848,0.00001000003,0.000006064148,0.0001377716,0.0000240318,0.9401237,0.0002045872,0.05449068,0.0003898996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914084,0.0003957493,0.001493385,0.002771399,0.000123613,0.0007853207,0.0003252654,0.00004809504,0.002648755],"genre_scores_gemma":[0.9921381,0.0000799292,0.002266507,0.00383292,0.000601165,0.00008626319,0.0006649366,0.00004415373,0.0002859757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05378613,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257989911099042,"score_gpt":0.2468893712107016,"score_spread":0.2343094720997112,"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."}}