{"id":"W2102047825","doi":"10.1161/circulationaha.104.526350","title":"Effects of <scp>l</scp> -Arginine on Fibroblast Growth Factor 2–Induced Angiogenesis in a Model of Endothelial Dysfunction","year":2005,"lang":"en","type":"article","venue":"Circulation","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Medicine; Enos; Fibroblast growth factor; Endothelial dysfunction; Angiogenesis; Nitric oxide; Internal medicine; Endocrinology; Endothelium; Arginine; Vascular endothelial growth factor; Nitric oxide synthase; Coronary artery disease; Perfusion; Endothelial stem cell; Receptor; Biochemistry; Biology; In vitro","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":[0.00006149856,0.0001178264,0.0001537864,0.00009836016,0.00001861905,0.000003330874,0.00006563296,0.0001459616,0.000003800385],"category_scores_gemma":[0.00009413076,0.0001179796,0.0001250097,0.0001112976,0.00002034466,0.000007188915,0.00001845727,0.00002894813,0.000002926817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000305483,"about_ca_system_score_gemma":0.00004267646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001980891,"about_ca_topic_score_gemma":0.0000126579,"domain_scores_codex":[0.999256,0.00003212217,0.0002287452,0.0002201736,0.0001309689,0.0001320389],"domain_scores_gemma":[0.9995854,0.00002840336,0.0001392636,0.0001404363,0.00007905675,0.00002743926],"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":[0.0000326898,0.00009291049,0.009424404,0.00006410207,0.00002747534,1.544888e-7,0.0001120779,0.01816013,0.9695889,0.00007310751,0.0000531569,0.002370906],"study_design_scores_gemma":[0.000704086,0.0001222474,0.1083497,0.00004028292,0.00001551399,5.639678e-7,0.000009512684,0.00649619,0.8841052,0.00002393196,0.0000827339,0.00004997447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932276,0.0002048665,0.006097597,0.00001323772,0.0000527373,0.0001971308,0.00003011685,0.000006283778,0.0001704563],"genre_scores_gemma":[0.9993465,0.0000472791,0.0002656731,0.0000442676,0.0001723169,0.00002134535,0.00004472815,0.0000196493,0.00003825581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09892534,"threshold_uncertainty_score":0.481107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383177334787349,"score_gpt":0.2327059294652774,"score_spread":0.218874156117404,"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."}}