{"id":"W2911725572","doi":"10.1016/j.stem.2019.01.002","title":"EGFR-Aurka Signaling Rescues Polarity and Regeneration Defects in Dystrophin-Deficient Muscle Stem Cells by Increasing Asymmetric Divisions","year":2019,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":151,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Canadian Institutes of Health Research; National Institutes of Health; Muscular Dystrophy Canada; Ontario Institute for Regenerative Medicine; AFM-Téléthon; Stem Cell Network; Muscular Dystrophy Association","keywords":"Biology; Cell biology; Dystrophin; Regeneration (biology); Duchenne muscular dystrophy; Mitosis; Asymmetric cell division; Stem cell; Progenitor cell; Skeletal muscle; Centrosome; Cancer research; Cell division; Cell cycle; Cell; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003675684,0.000212848,0.0002174195,0.0001081921,0.0001390532,0.00004394839,0.0001532752,0.0002445695,0.00001144812],"category_scores_gemma":[0.000006549725,0.0001931476,0.00007404822,0.0002090219,0.00004696032,0.00001161867,0.0001545538,0.00017185,0.00002658344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002978573,"about_ca_system_score_gemma":0.0000450546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001748885,"about_ca_topic_score_gemma":0.00002328731,"domain_scores_codex":[0.9984068,0.000272202,0.0002710524,0.0005737564,0.0001312264,0.0003449309],"domain_scores_gemma":[0.9993156,0.00006938951,0.000120171,0.0003457572,0.0000431355,0.0001059322],"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":[0.0000675362,0.0001487653,0.006568985,0.00008819055,0.000005434093,0.000001544679,0.00007385309,0.0006563269,0.9907983,0.00001221762,0.0002667927,0.001312084],"study_design_scores_gemma":[0.0009940553,0.0003286931,0.005114863,0.00002510587,0.00001735083,0.000001218017,0.0003818905,0.0004511504,0.9903476,0.00002251984,0.002010592,0.0003050158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925081,0.004843534,0.0002854668,0.00002037314,0.0001701185,0.0003307273,0.00002098983,0.00001520264,0.001805514],"genre_scores_gemma":[0.9986615,0.0003015913,0.0001120355,0.0001113456,0.00004190958,0.000009297697,0.00008849041,0.00002569942,0.0006481911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006153365,"threshold_uncertainty_score":0.7876329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005942601879896261,"score_gpt":0.1990093731824913,"score_spread":0.193066771302595,"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."}}