{"id":"W2036302190","doi":"10.1016/j.yexcr.2009.01.005","title":"Selection of multipotent cells and enhanced muscle reconstruction by myogenic macrophage-secreted factors","year":2009,"lang":"en","type":"article","venue":"Experimental Cell Research","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Association Française contre les Myopathies; Advanced Foods and Materials Canada; Fondazione Città della Speranza","keywords":"Biology; Cell biology; Mesenchymal stem cell; Macrophage; Population; Skeletal muscle; Myocyte; Regeneration (biology); Stem cell; Multipotent Stem Cell; Multinucleate; Myogenesis; Immunology; In vitro; Anatomy; Progenitor cell; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000672808,0.0005055019,0.0004756885,0.0005890884,0.0002792051,0.0005974521,0.0004061266,0.0005426609,0.001566622],"category_scores_gemma":[0.0002780264,0.0003422814,0.0004598592,0.0002749712,0.000301923,0.0002381111,0.0006758145,0.0008294552,0.0007684673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909124,"about_ca_system_score_gemma":0.0001773627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002207821,"about_ca_topic_score_gemma":0.0006238727,"domain_scores_codex":[0.9994668,0.0001243564,0.00007628774,0.0000701229,0.0001271986,0.0001351623],"domain_scores_gemma":[0.9995697,0.0001405026,0.00007809275,0.00007332421,0.00004105117,0.00009726783],"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":[0.0001901357,0.00003598226,0.0001507231,0.00001996003,0.0000034651,0.00005668517,0.00002356389,0.00005080117,0.9983575,0.000283089,0.00002302924,0.0008050379],"study_design_scores_gemma":[0.00002795469,0.00012832,0.0005718769,0.000002865398,0.000009263116,0.0001442518,0.0000142761,0.0004518001,0.9973199,0.00003028079,0.001296484,0.000002808093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825948,0.001193149,0.01357831,0.0001169685,0.00006675455,0.0001245069,0.0003347184,0.0001152521,0.001875499],"genre_scores_gemma":[0.9795512,0.0005137312,0.01388897,0.00008121182,0.0000315165,0.0001742397,0.0005561126,0.0001008868,0.005102074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001566622,"threshold_uncertainty_score":0.005240858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581628942409415,"score_gpt":0.3068411176588345,"score_spread":0.2910248282347404,"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."}}