{"id":"W2037414115","doi":"10.1139/h06-055","title":"Molecular regulation of myogenic progenitor populations","year":2006,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre; University of Ottawa","funders":"","keywords":"Progenitor cell; Biology; Regeneration (biology); Skeletal muscle; Cell biology; Satellite; Population; Stem cell; Myocyte; Transcription factor; Progenitor; Neuroscience; Genetics; Anatomy; Gene; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003477321,0.0001334696,0.0002544342,0.0005568455,0.0001762993,0.0007698162,0.0003530804,0.0002539171,0.0007257063],"category_scores_gemma":[0.000278495,0.0001863574,0.0001367882,0.0002619377,0.0003187724,0.000396117,0.0004764475,0.0005079425,0.0003428303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003494091,"about_ca_system_score_gemma":0.0002167671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001911014,"about_ca_topic_score_gemma":0.0002848681,"domain_scores_codex":[0.9997912,0.00003472469,0.0000158933,0.00005761996,0.00007747345,0.00002313485],"domain_scores_gemma":[0.9998189,0.00004271238,0.00003247775,0.0000188224,0.00004959691,0.00003763133],"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":[0.00007515735,0.00001128845,0.0006243814,0.0001103568,0.000006395848,0.00009633145,0.00005890426,0.0001519464,0.9818339,0.003445637,0.00007580267,0.01350982],"study_design_scores_gemma":[0.0000327089,0.0002179461,0.02313408,0.00008163679,0.00004753211,0.0009783731,0.0002158413,0.003258464,0.9388725,0.003076494,0.03006668,0.00001775248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952901,0.05330993,0.03944403,0.0005886838,0.0001353864,0.00008141297,0.0005349884,0.000283496,0.01033192],"genre_scores_gemma":[0.9599285,0.01948311,0.01422197,0.0001705857,0.00007314599,0.0001134923,0.0005719904,0.00005226331,0.005385003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007698162,"threshold_uncertainty_score":0.002535105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007357244862286749,"score_gpt":0.2305343806934571,"score_spread":0.2231771358311703,"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."}}