{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004784236,0.00009790609,0.00009342458,0.00002358031,0.00002969773,0.000007804614,0.00004778683,0.0001221555,0.00002438164],"category_scores_gemma":[0.0000135029,0.0001028367,0.00008747178,0.00005743412,0.00003939899,0.000003875552,0.000016084,0.00002708511,0.00001014159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000220147,"about_ca_system_score_gemma":0.00005795659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006613633,"about_ca_topic_score_gemma":0.000001608409,"domain_scores_codex":[0.9993551,0.00001421873,0.0001856968,0.0002042709,0.0001114359,0.0001292791],"domain_scores_gemma":[0.9996586,0.000003033518,0.00006818763,0.0001436468,0.00008414276,0.00004232324],"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":[0.00003513427,0.00004662871,0.0003478001,0.00001338096,0.0000201671,2.971596e-7,0.00002210112,0.002711949,0.9950258,0.00008547566,0.0001069491,0.001584351],"study_design_scores_gemma":[0.0005945283,0.00007985289,0.00256752,0.00001091029,0.00001706515,0.000003523208,0.000008393564,0.00008309563,0.9956563,0.00005397452,0.0008105283,0.0001143305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271157,0.000377416,0.0719251,0.0000223632,0.0001250248,0.000163635,0.00004205469,0.00001000101,0.0002187358],"genre_scores_gemma":[0.997952,0.00005073305,0.001454328,0.00004188,0.0002583872,0.00002133927,0.0001782853,0.00001882886,0.00002421921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07083632,"threshold_uncertainty_score":0.4193557,"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."}}