{"id":"W4391935594","doi":"10.1016/bs.ctdb.2024.01.019","title":"Muscle stem cell dysfunction in rhabdomyosarcoma and muscular dystrophy","year":2024,"lang":"en","type":"article","venue":"Current topics in developmental biology/Current Topics in Developmental Biology","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Defeat Duchenne Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Muscular Dystrophy Canada; Stem Cell Network","keywords":"Myogenesis; Stem cell; Biology; Duchenne muscular dystrophy; Muscular dystrophy; Myocyte; Skeletal muscle; Rhabdomyosarcoma; Cancer research; Immunology; Cell biology; Pathology; Medicine; Endocrinology; Genetics","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":[0.0003169961,0.0002894472,0.0003096661,0.0006953775,0.0001765684,0.0002052577,0.0002501622,0.0005535758,0.001510238],"category_scores_gemma":[0.0003062454,0.0001573249,0.000159226,0.0003066802,0.0004943619,0.000186654,0.0003978562,0.0002263264,0.000250171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983487,"about_ca_system_score_gemma":0.0001938339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004195389,"about_ca_topic_score_gemma":0.0004087636,"domain_scores_codex":[0.9998717,0.00003371403,0.0000247211,0.00002160782,0.00002923251,0.00001900497],"domain_scores_gemma":[0.9998488,0.00003630579,0.00005611071,0.00000994754,0.00001056422,0.00003815221],"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":[0.003317348,0.0002083606,0.07584193,0.0004033337,0.0001618964,0.0352481,0.000391446,0.001499061,0.8566663,0.002567064,0.0006617609,0.0230335],"study_design_scores_gemma":[0.0002259317,0.001714233,0.6281226,0.0001061701,0.0002785161,0.1073086,0.001325635,0.00481035,0.2453618,0.003461437,0.007233138,0.00005163563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966449,0.001869965,0.0003935802,0.00006730073,0.000009914056,0.000007436,0.0001205325,0.0000179601,0.0008685291],"genre_scores_gemma":[0.9983885,0.0006018859,0.0002371422,0.00001494988,0.0000077329,0.000008956748,0.0001270319,0.000002889734,0.0006109411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001510238,"threshold_uncertainty_score":0.005052209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464519754973388,"score_gpt":0.2709022367665933,"score_spread":0.2462570392168594,"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."}}