{"id":"W3026313967","doi":"10.1098/rsob.200048","title":"Satellite cells in ageing: use it or lose it","year":2020,"lang":"en","type":"review","venue":"Open Biology","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Institute of Genetics; National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Biology; Skeletal muscle; Senescence; Satellite; Regeneration (biology); Cell biology; Sarcopenia; Population; Atrophy; Muscle atrophy; Stem cell; Myocyte; Ageing; Neuroscience; Anatomy; Genetics; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002127648,0.0004932504,0.001428849,0.00007863892,0.00005927523,0.00005668023,0.001198867,0.00108162,0.0003427755],"category_scores_gemma":[0.0001981385,0.0003710009,0.0002863169,0.000221998,0.000183226,0.000007281104,0.001122905,0.0003874234,0.0003596914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002162298,"about_ca_system_score_gemma":0.0004373993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000141764,"about_ca_topic_score_gemma":0.0005932426,"domain_scores_codex":[0.997269,0.0005822195,0.0006150452,0.00102954,0.00003922897,0.0004649467],"domain_scores_gemma":[0.9987912,0.0001161817,0.0002775527,0.0006586486,0.00002919826,0.0001271864],"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":[0.0004602534,0.0001717965,0.00003542578,0.001668361,0.0003205526,0.0001651366,0.00005351437,0.000001308846,0.002744134,0.0001985949,0.02190642,0.9722745],"study_design_scores_gemma":[0.00039516,0.00040251,0.000009817123,0.0004907774,0.00008371115,0.00001489289,0.00001713396,6.366583e-7,0.000110073,0.00007760475,0.9979294,0.0004682938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001233786,0.9929645,0.00001802108,0.0002769178,0.0003344681,0.001159768,0.0001663839,0.000009108386,0.004947476],"genre_scores_gemma":[0.0001784392,0.9922419,0.0002211517,0.002324199,0.0001829849,0.0001560431,0.001861802,0.00005496271,0.002778517],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.976023,"threshold_uncertainty_score":0.9998742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106417687248996,"score_gpt":0.3912078608257092,"score_spread":0.2805660921008097,"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."}}