{"id":"W2951088939","doi":"10.1016/j.biomaterials.2018.04.048","title":"Muscle stem cell intramuscular delivery within hyaluronan methylcellulose improves engraftment efficiency and dispersion","year":2018,"lang":"en","type":"article","venue":"Biomaterials","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Canadian Institutes of Health Research; Medical University of South Carolina","keywords":"Transplantation; In vivo; Regenerative medicine; Stem cell; Mesenchymal stem cell; Cell; Biomedical engineering; Materials science; Medicine; Cell biology; Chemistry; Surgery; Pathology; Biology; Biotechnology","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":[0.0002518251,0.0001854844,0.000167126,0.00003689581,0.0001568596,0.00003396168,0.0001442756,0.000167805,0.00004244814],"category_scores_gemma":[0.00001139307,0.0001543033,0.00005746182,0.00004800508,0.0002602494,0.000006109133,0.0001704727,0.00001095854,0.00003018876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007529012,"about_ca_system_score_gemma":0.00003396055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004502069,"about_ca_topic_score_gemma":0.000008056556,"domain_scores_codex":[0.9988791,0.0001317127,0.0002242426,0.0004357593,0.00008199852,0.0002471739],"domain_scores_gemma":[0.999456,0.000008850452,0.00009655762,0.0003035788,0.00004617406,0.00008880157],"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":[0.0001469312,0.00009139508,0.00003819535,0.00003778708,0.00002226043,0.000001292919,0.0001538388,0.000001061199,0.995282,0.000029939,0.0001690424,0.004026273],"study_design_scores_gemma":[0.000544031,0.0011363,0.002327777,0.00000860993,0.00002485737,0.000001957995,0.0001848796,0.0000388247,0.9918805,0.00005273222,0.003587554,0.0002120246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978089,0.001068664,0.0001487789,0.00002940035,0.0004781621,0.0002395116,0.00002023052,0.0000241944,0.0001821656],"genre_scores_gemma":[0.998997,0.000116076,0.000296266,0.0001730562,0.0002170853,0.0000192646,0.00006356106,0.00001900689,0.00009871436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003814248,"threshold_uncertainty_score":0.6292305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006793195064693908,"score_gpt":0.2175839861038558,"score_spread":0.2107907910391619,"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."}}