{"id":"W4360601280","doi":"10.7554/elife.85289","title":"Lipid hydroperoxides promote sarcopenia through carbonyl stress","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Exercise and Physiological Responses","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sciex (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Center on Aging, University of Utah; National Institute on Aging; National Institutes of Health; Uehara Memorial Foundation; National Institute of General Medical Sciences; American Heart Association","keywords":"Sarcopenia; Reactive oxygen species; Oxidative stress; Muscle atrophy; Chemistry; Atrophy; Skeletal muscle; Glutathione; Endocrinology; Internal medicine; Cell biology; Biochemistry; Biology; Medicine; 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":[0.0001524287,0.0004179789,0.0003229961,0.0002489724,0.0001496967,0.000199453,0.0002242964,0.0003934749,0.001907797],"category_scores_gemma":[0.0000844536,0.0001646493,0.0003477838,0.00009801366,0.0003423269,0.000323711,0.0003451963,0.0006668142,0.0004049962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421414,"about_ca_system_score_gemma":0.0001794537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002943402,"about_ca_topic_score_gemma":0.0005952269,"domain_scores_codex":[0.9998982,0.00001358415,0.00001237495,0.00002428436,0.00001656337,0.00003500936],"domain_scores_gemma":[0.9998969,0.000006912906,0.00003490174,0.000007599275,0.00001334907,0.00004033176],"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":[0.0005756558,0.00007563668,0.0002154964,0.00009323053,0.00001353862,0.00005722073,0.00002305664,0.00003986704,0.9968754,0.00008015336,0.0001207059,0.001829998],"study_design_scores_gemma":[0.0001130816,0.001701631,0.007740578,0.00003152509,0.00004746298,0.0002334738,0.0001038463,0.0005122307,0.9851682,0.0002687253,0.004068906,0.00001026075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903991,0.002796905,0.003984797,0.000484914,0.0001292014,0.00005329,0.0004779891,0.0001910685,0.001482931],"genre_scores_gemma":[0.9886673,0.002605011,0.002706033,0.000267218,0.00004884772,0.00007460254,0.0004708227,0.00003038247,0.005129828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001907797,"threshold_uncertainty_score":0.006382227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124317536407638,"score_gpt":0.3267797402123505,"score_spread":0.2855365648482741,"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."}}