{"id":"W4384820065","doi":"10.1038/s41467-023-39663-3","title":"Clearance of defective muscle stem cells by senolytics restores myogenesis in myotonic dystrophy type 1","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université du Québec à Chicoutimi; Université de Sherbrooke; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Courtois Foundation; Myotonic Dystrophy Foundation; Fonds Québécois de la Recherche sur la Nature et les Technologies; Government of Canada; Muscular Dystrophy Canada; Canadian Institutes of Health Research; Mitacs","keywords":"Myogenesis; Myocyte; Myotonic dystrophy; Stem cell; Cell biology; Biology; Skeletal muscle; Cancer research; Phenotype; Endocrinology; Gene; 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":[0.0001472911,0.0003151402,0.0005690807,0.0002568742,0.0001347687,0.0002184151,0.0001615379,0.0001640279,0.0008317747],"category_scores_gemma":[0.0001152361,0.0001117686,0.0001734574,0.0001039364,0.0001633413,0.0001068917,0.0001665316,0.0004231373,0.0001789036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001193687,"about_ca_system_score_gemma":0.0001511697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003180253,"about_ca_topic_score_gemma":0.0009372338,"domain_scores_codex":[0.999918,0.00001762586,0.00001349816,0.00001331492,0.0000182768,0.00001933761],"domain_scores_gemma":[0.9999349,0.00001261107,0.00001976008,0.000006265454,0.000004692169,0.00002172561],"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":[0.0003009096,0.0000887319,0.0003600887,0.00006632024,0.00001650636,0.00008257111,0.00001588276,0.00009242844,0.9949632,0.00005856068,0.00004679215,0.00390806],"study_design_scores_gemma":[0.0000516813,0.001579885,0.01038686,0.00001267936,0.0000441898,0.0005502367,0.0000384452,0.0007292225,0.9846807,0.00004969985,0.001871728,0.000004721618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966414,0.001932264,0.0006603773,0.00005091364,0.0000172208,0.00001572491,0.0001263993,0.00005899804,0.000496773],"genre_scores_gemma":[0.9966971,0.001381061,0.000718524,0.00003759255,0.000009295195,0.00001732612,0.0002368098,0.00001250524,0.0008899489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008317747,"threshold_uncertainty_score":0.002782583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978008151160475,"score_gpt":0.3055870076218676,"score_spread":0.2658069261102628,"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."}}