{"id":"W3112590295","doi":"10.1126/science.abc8059","title":"Inhibition of prostaglandin-degrading enzyme 15-PGDH rejuvenates aged muscle mass and strength","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; National Institute on Aging; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Donald E. and Delia B. Baxter Foundation; Canadian Institutes of Health Research; Li Ka Shing Foundation; California Institute for Regenerative Medicine","keywords":"Enzyme; Chemistry; Prostaglandin; Muscle mass; Biochemistry; Biology; Endocrinology","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":[0.000167786,0.0004019275,0.0003453663,0.0002854597,0.000113447,0.0003624257,0.0002394039,0.0003443605,0.002235943],"category_scores_gemma":[0.0001043583,0.0001678759,0.0002732427,0.0001296424,0.0002756518,0.0003050748,0.00020801,0.001013981,0.0009612024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666855,"about_ca_system_score_gemma":0.0002613879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004096032,"about_ca_topic_score_gemma":0.0008107944,"domain_scores_codex":[0.9999261,0.000006232443,0.000005762407,0.00001592669,0.00003206824,0.00001399919],"domain_scores_gemma":[0.9999305,0.00000832533,0.00002080097,0.000006873262,0.00001258445,0.00002075314],"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":[0.0009675144,0.0001485617,0.0003504579,0.0003405902,0.00005091681,0.0001732715,0.00002047505,0.0001167492,0.9495166,0.001108827,0.005715326,0.04149064],"study_design_scores_gemma":[0.0002419062,0.001614029,0.01283966,0.00009035015,0.0001225931,0.000899529,0.00006518677,0.001027026,0.8953906,0.00128395,0.08640341,0.00002178122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7599159,0.1699132,0.01791051,0.007920185,0.005343232,0.0001418222,0.002469063,0.001511095,0.03487498],"genre_scores_gemma":[0.8655732,0.07287828,0.006598071,0.002082061,0.0007600785,0.0001051802,0.001281908,0.0001690753,0.05055204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002235943,"threshold_uncertainty_score":0.007479966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266547076240568,"score_gpt":0.2330957772894128,"score_spread":0.2204303065270072,"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."}}