{"id":"W3094189501","doi":"10.1530/jme-20-0196","title":"Aging, senescence and mitochondria: the PGC-1/ERR axis","year":2020,"lang":"en","type":"review","venue":"Journal of Molecular Endocrinology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Terry Fox Research Institute; Canadian Institutes of Health Research; Fondation du cancer du sein du Québec","keywords":"Mitochondrion; Senescence; Context (archaeology); Cell biology; Biology; Regulator; Receptor; Nuclear receptor; Neuroscience; Bioinformatics; Genetics; Transcription factor; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001284091,0.0003635694,0.002229501,0.000221653,0.0000550049,0.0000199418,0.000335931,0.0002056134,0.0000443563],"category_scores_gemma":[0.0003275796,0.0002118819,0.0006357396,0.0002203429,0.0001909214,0.00004011498,0.0001624612,0.001397208,0.00004134822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004106057,"about_ca_system_score_gemma":0.0004406901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000500565,"about_ca_topic_score_gemma":5.740773e-7,"domain_scores_codex":[0.9979287,0.0003045411,0.0008112353,0.0002744706,0.0003031134,0.0003779615],"domain_scores_gemma":[0.9983329,0.0001281453,0.0007715853,0.0003763179,0.0001466864,0.0002443682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002039222,0.00003610584,0.000006298374,0.00204927,0.0009685306,0.01291321,0.00008138924,9.351818e-8,0.0003217361,0.000906091,0.001689143,0.9810078],"study_design_scores_gemma":[0.0005707512,0.0002580978,0.00001379469,0.002149489,0.004248262,0.05539236,0.00002022623,4.297472e-7,0.0001385887,0.00006947966,0.9369916,0.0001469289],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006428594,0.9952283,0.0004836843,0.002737331,0.000743266,0.000401751,0.000003745029,0.00001337079,0.0003242744],"genre_scores_gemma":[0.0001001413,0.9967524,0.0009820421,0.0008392971,0.0009166318,0.000008840733,0.000003832582,0.00005328276,0.0003434857],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9808608,"threshold_uncertainty_score":0.8640293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967752979230039,"score_gpt":0.3350163859632951,"score_spread":0.3053388561709947,"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."}}