{"id":"W2617233822","doi":"10.1016/j.cmet.2017.04.021","title":"Age-Associated Loss of OPA1 in Muscle Impacts Muscle Mass, Metabolic Homeostasis, Systemic Inflammation, and Epithelial Senescence","year":2017,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":558,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Associazione Italiana per la Ricerca sul Cancro; Università degli Studi di Padova; Fondazione Cassa di Risparmio di Padova e Rovigo","keywords":"Senescence; Sarcopenia; Biology; Muscle atrophy; Endocrinology; Atrophy; Internal medicine; Mitochondrion; Homeostasis; Skeletal muscle; Premature aging; Unfolded protein response; Inflammation; Cell biology; Medicine; Immunology; Physiology; Genetics; Endoplasmic reticulum","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":[],"consensus_categories":[],"category_scores_codex":[0.0003871092,0.0002105555,0.0004080906,0.00006560871,0.0001673892,0.00003924904,0.0003525403,0.0002411897,0.00001024409],"category_scores_gemma":[0.0003311394,0.0002035654,0.00009122063,0.00007422857,0.0002611119,0.00002391123,0.0001540559,0.0001217175,0.000005895149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006215033,"about_ca_system_score_gemma":0.0000837871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002591824,"about_ca_topic_score_gemma":0.0001521719,"domain_scores_codex":[0.9986594,0.0001644841,0.0003520008,0.0003725538,0.0001221768,0.0003293541],"domain_scores_gemma":[0.998769,0.00001944722,0.0003861834,0.0006261772,0.00009733809,0.0001017957],"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":[0.00005500804,0.0000548081,0.007106498,0.00007194425,0.00003243294,0.000006313396,0.0001668268,0.00003338609,0.9892067,0.0001634584,0.00004472808,0.003057932],"study_design_scores_gemma":[0.001709032,0.0000366192,0.6725053,0.00003913359,0.00005297083,0.000002203763,0.0001145397,0.00002593497,0.3221593,0.0004643381,0.002648125,0.0002425104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889045,0.0100342,0.00005483752,0.00006226825,0.0002515534,0.0002347345,0.00006398476,0.000009947547,0.0003840226],"genre_scores_gemma":[0.9934101,0.006124634,0.0001062667,0.00004090787,0.0001351684,0.00002000149,0.000068762,0.00002217669,0.0000719433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6670474,"threshold_uncertainty_score":0.8301157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007948296839257863,"score_gpt":0.2346949514599176,"score_spread":0.2267466546206598,"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."}}