{"id":"W4321015068","doi":"10.1002/jcsm.13185","title":"Resistance and endurance exercise training improves muscle mass and the inflammatory/fibrotic transcriptome in a rhabdomyosarcoma model","year":2023,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Agencia Nacional de Investigación y Desarrollo; Agenția Națională pentru Cercetare și Dezvoltare; CHIST-ERA; Natural Sciences and Engineering Research Council of Canada; CHEO Research Institute; University of Ottawa","keywords":"Rhabdomyosarcoma; Medicine; Internal medicine; sed; Skeletal muscle; Endocrinology; Hindlimb; Muscle atrophy; Fibrosis; Gastrocnemius muscle; Pathology; Sarcoma","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001496061,0.0004475893,0.0003071876,0.0003665116,0.0001144361,0.0001348311,0.0001724372,0.0002387636,0.001423849],"category_scores_gemma":[0.00006164137,0.0001293514,0.0002640915,0.0001113836,0.000202209,0.0001809577,0.0001490099,0.0006304709,0.0002460519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351978,"about_ca_system_score_gemma":0.0001671456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004191723,"about_ca_topic_score_gemma":0.001108124,"domain_scores_codex":[0.9998857,0.00001115731,0.00001220201,0.00003055784,0.00002872632,0.00003174202],"domain_scores_gemma":[0.9998525,0.000007489637,0.00006049635,0.0000116592,0.00001369682,0.00005398389],"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":[0.0005380568,0.0002894988,0.0004642156,0.00003439948,0.000007856802,0.00002523923,0.00001441573,0.00007487828,0.9972311,0.00001474386,0.00004764631,0.001257967],"study_design_scores_gemma":[0.0001398717,0.01118303,0.03517894,0.00003957048,0.00008465267,0.0003426724,0.0001335659,0.001620917,0.9495029,0.00005450456,0.001704348,0.00001495812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980768,0.0003331529,0.0006835589,0.00005054361,0.00002068137,0.00002577362,0.0002836528,0.00005442437,0.0004713512],"genre_scores_gemma":[0.9917774,0.0005832552,0.001845403,0.00006051694,0.00001420905,0.0001010352,0.0009660193,0.00002237268,0.004629798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001423849,"threshold_uncertainty_score":0.004763186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068934199283947,"score_gpt":0.2301469245009738,"score_spread":0.2194575825081344,"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."}}