{"id":"W2014654145","doi":"10.2741/3431","title":"Advances in myogenic cell transplantation and skeletal muscle tissue engineering","year":2009,"lang":"en","type":"review","venue":"Frontiers in bioscience","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Transplantation; Skeletal muscle; Medicine; Myocyte; Stem cell; Tissue engineering; Bioinformatics; Biology; Surgery; Cell biology; Anatomy; Internal medicine; Biomedical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001118821,0.0001800455,0.0003314741,0.0001425064,0.00002564302,0.000008924992,0.0001951024,0.000209048,0.000001307419],"category_scores_gemma":[0.00001738255,0.0001718846,0.00005174992,0.0002223366,0.00008975816,0.00001125195,0.00002276221,0.0001266183,9.179671e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416509,"about_ca_system_score_gemma":0.00005599199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003607965,"about_ca_topic_score_gemma":0.00001357874,"domain_scores_codex":[0.9990547,0.00004201158,0.0001999818,0.0004192103,0.00005788681,0.0002261894],"domain_scores_gemma":[0.999752,0.000007500286,0.00006210898,0.0001347304,0.00000523492,0.00003839083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004232065,0.00002541197,0.0000416253,0.001389148,0.000001578556,0.000004797441,0.00002195656,0.00005268814,0.00138829,0.000006187957,0.00005416958,0.9970099],"study_design_scores_gemma":[0.0002826164,0.0001621472,0.0009576305,0.0007834108,0.0000289193,0.000007996151,0.0000236954,0.00006447489,0.0003671614,0.00005594659,0.9968563,0.0004096464],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001257597,0.9959628,0.002065467,0.000004117472,0.000270278,0.0002049462,0.00001069848,0.000004874696,0.0002191946],"genre_scores_gemma":[0.003440561,0.9947331,0.001655686,0.00002218895,0.00002987043,0.00002133264,0.0000642586,0.000008850329,0.00002414348],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9968022,"threshold_uncertainty_score":0.7009252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005567870078028463,"score_gpt":0.2544105518151684,"score_spread":0.2488426817371399,"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."}}