{"id":"W1990141225","doi":"10.1089/rej.2012.1325","title":"Tissue Inhibitor of Matrix Metalloproteinase-3 or Vascular Endothelial Growth Factor Transfection of Aged Human Mesenchymal Stem Cells Enhances Cell Therapy after Myocardial Infarction","year":2012,"lang":"en","type":"article","venue":"Rejuvenation Research","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Natural Science Foundation of Heilongjiang Province; China Postdoctoral Science Foundation","keywords":"Mesenchymal stem cell; Transplantation; Vascular endothelial growth factor; Angiogenesis; Tissue inhibitor of metalloproteinase; Medicine; Genetic enhancement; Matrix metalloproteinase; Stem cell; Myocardial infarction; Matrix metalloproteinase inhibitor; Cancer research; Internal medicine; Pathology; Cell biology; Chemistry; Biology; Biochemistry; VEGF receptors; Gene","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":[0.0001912554,0.0003064034,0.0003512361,0.0001687866,0.00007367862,0.0002198408,0.0001143619,0.0001899122,0.001020013],"category_scores_gemma":[0.00007780312,0.0001098458,0.0002702327,0.000119014,0.0001584607,0.0001830008,0.0001430951,0.0004517557,0.0002869274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201997,"about_ca_system_score_gemma":0.0001874625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003176363,"about_ca_topic_score_gemma":0.0004735019,"domain_scores_codex":[0.9999063,0.00001452089,0.00001314577,0.00001819683,0.00002301829,0.00002479657],"domain_scores_gemma":[0.9999355,0.000007384302,0.00001939184,0.000006860749,0.000007117082,0.00002367072],"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":[0.0001635278,0.00007802541,0.000162812,0.00004079735,0.000005424168,0.00003852576,0.00002032079,0.00004996785,0.9971975,0.00007881231,0.00004546887,0.002118767],"study_design_scores_gemma":[0.00007002533,0.00191274,0.005671892,0.0000140759,0.0000569806,0.0002892853,0.00002854571,0.001304149,0.9857618,0.00006256251,0.004822304,0.000005622646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904322,0.00280327,0.004921973,0.00007519849,0.0001281885,0.00006835763,0.0001840975,0.0001072056,0.001279353],"genre_scores_gemma":[0.9883111,0.002424833,0.004871759,0.00008079153,0.00005504736,0.0001021488,0.0004689628,0.00002688162,0.003658507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001020013,"threshold_uncertainty_score":0.003412306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06165895192122248,"score_gpt":0.3716759957365071,"score_spread":0.3100170438152846,"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."}}