{"id":"W2065334138","doi":"10.1161/01.cir.0000121732.85572.6f","title":"Enhanced Inhibition of Neointimal Hyperplasia by Genetically Engineered Endothelial Progenitor Cells","year":2004,"lang":"en","type":"article","venue":"Circulation","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":289,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Heart, Lung, and Blood Institute; Massachusetts General Hospital; Heart and Stroke Foundation of Canada","keywords":"Neointima; Progenitor cell; Enos; Medicine; Neointimal hyperplasia; Transplantation; Endothelial progenitor cell; Ex vivo; Endothelium; Stem cell; Internal medicine; In vivo; Nitric oxide synthase; Nitric oxide; Cell biology; Stent; Restenosis; Biology","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":[0.0002621481,0.000297178,0.0002676371,0.0001968125,0.00005638834,0.0002303619,0.0001424244,0.0001953274,0.0005513642],"category_scores_gemma":[0.0001484529,0.00006564161,0.0001831321,0.0001237113,0.0001739016,0.0001520649,0.0001478293,0.0005638059,0.0001348126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130787,"about_ca_system_score_gemma":0.0001427589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001080584,"about_ca_topic_score_gemma":0.0001580402,"domain_scores_codex":[0.9998636,0.00002567742,0.00001475778,0.00001791217,0.00004999439,0.00002806507],"domain_scores_gemma":[0.9998702,0.00003269766,0.0000403895,0.00001259291,0.00002003854,0.00002403756],"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":[0.0001024046,0.000102539,0.0002551813,0.00009013046,0.000007647095,0.00005125855,0.00001341181,0.000139337,0.995311,0.0001134352,0.0000330059,0.00378078],"study_design_scores_gemma":[0.00003330154,0.001138569,0.002690429,0.000009929311,0.00004322988,0.0002820112,0.000009715342,0.0009595053,0.9927718,0.00004825949,0.002010783,0.000002509616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910237,0.00281176,0.005044886,0.00006775533,0.00003913073,0.00003572754,0.00009892746,0.00006632916,0.0008118254],"genre_scores_gemma":[0.9920689,0.001932655,0.004344547,0.00005377061,0.00003378242,0.00004502302,0.0002220657,0.00001252461,0.001286713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005513642,"threshold_uncertainty_score":0.001844525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005977505886220461,"score_gpt":0.2192747391663231,"score_spread":0.2132972332801026,"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."}}