{"id":"W4231664109","doi":"10.1101/2021.05.25.445621","title":"Transcriptional Reprogramming of Skeletal Muscle Stem Cells by the Niche Environment","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McGill Genome Centre; Ottawa Hospital; McGill University; Jewish General Hospital","funders":"Lady Davis Institute for Medical Research; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Jewish General Hospital; Stem Cell Network; Compute Canada","keywords":"Niche; Transcriptome; Biology; Stem cell; Reprogramming; Chromatin; Cell biology; Regeneration (biology); Skeletal muscle; Function (biology); Gene; Genetics; Gene expression; Anatomy; Ecology","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":[0.0001016856,0.0001624818,0.0001849233,0.000102102,0.00006389272,0.0002485588,0.0001112398,0.0001145361,0.001069773],"category_scores_gemma":[0.0001124949,0.0000999631,0.0002476563,0.0001543188,0.0001311603,0.0001093873,0.0002025523,0.0001750081,0.0002258578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013775,"about_ca_system_score_gemma":0.0001123545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004775813,"about_ca_topic_score_gemma":0.0005491721,"domain_scores_codex":[0.9999447,0.000007897357,0.000001809,0.0000230866,0.00001427483,0.000008204523],"domain_scores_gemma":[0.9999684,0.000009544416,0.000009149453,0.000005078301,0.000003384272,0.000004508377],"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":[0.00009537545,0.00001508869,0.002673363,0.00009043384,0.00002467714,0.0000415568,0.00002167124,0.005815219,0.9841267,0.000721742,0.0002434383,0.00613076],"study_design_scores_gemma":[0.00003852814,0.0001980596,0.0744174,0.00002978795,0.00007921008,0.000210111,0.000111854,0.1319551,0.7794933,0.003262543,0.01017633,0.00002771973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959823,0.0009997581,0.03487002,0.00007118547,0.00004458995,0.000009865593,0.001918302,0.000326784,0.001936432],"genre_scores_gemma":[0.9885679,0.0004691909,0.007145563,0.00004601794,0.00001076914,0.00001424129,0.001748361,0.00009409296,0.001903983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001069773,"threshold_uncertainty_score":0.003578782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008974675459986554,"score_gpt":0.1955176589602334,"score_spread":0.1865429835002468,"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."}}