{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003363156,0.0003515551,0.00028034,0.0002664065,0.0001849072,0.0005096105,0.0002024452,0.0003471324,0.000961348],"category_scores_gemma":[0.0001649814,0.0001407566,0.0001913917,0.0001766383,0.0002473736,0.0004306254,0.0002913775,0.0004285462,0.0002603127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002570866,"about_ca_system_score_gemma":0.0003031289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008205864,"about_ca_topic_score_gemma":0.001194229,"domain_scores_codex":[0.9998053,0.00003041461,0.00002034721,0.00003635317,0.00007176829,0.00003582419],"domain_scores_gemma":[0.9998668,0.00002649362,0.00004589902,0.00001447342,0.00002074816,0.00002557883],"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":[0.00005965432,0.00001688139,0.00006544701,0.00002192928,0.000003065119,0.00001543337,0.00001444699,0.00005489097,0.9978423,0.0000797935,0.00001267013,0.001813561],"study_design_scores_gemma":[0.00000497215,0.0001157817,0.0005124368,0.000004201827,0.00001359282,0.00003056604,0.00000967899,0.0004237717,0.9980949,0.00001563494,0.0007726297,0.000001809052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907418,0.002217239,0.005114788,0.00007645322,0.00004739597,0.00002527252,0.0000589053,0.00006979265,0.001648245],"genre_scores_gemma":[0.989495,0.001018601,0.004412166,0.0000323012,0.00001744699,0.00002188892,0.00007546123,0.00003775925,0.004889322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000961348,"threshold_uncertainty_score":0.003215969,"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."}}