{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004611353,0.0004933,0.0004509255,0.0002432484,0.0002240623,0.0002456504,0.0002843729,0.0004134621,0.00143618],"category_scores_gemma":[0.0001857879,0.000152344,0.0003429099,0.0001353667,0.0005514023,0.0002296998,0.0002103581,0.0009496657,0.0003547827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637833,"about_ca_system_score_gemma":0.0002764891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005610861,"about_ca_topic_score_gemma":0.0007956382,"domain_scores_codex":[0.9997094,0.0001107521,0.00002503753,0.00004764665,0.00004406225,0.00006297347],"domain_scores_gemma":[0.9996132,0.00008658696,0.0001137208,0.0000474191,0.00002661742,0.0001125399],"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":[0.005342443,0.0008019139,0.0001924425,0.00007365305,0.00001406563,0.0001381026,0.00002670183,0.00007999066,0.991201,0.00004113677,0.000110561,0.001978002],"study_design_scores_gemma":[0.0005218059,0.02131166,0.005003562,0.00002094529,0.0000477396,0.000517742,0.00006869248,0.0009633007,0.9695548,0.00003876711,0.001936207,0.00001472807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979814,0.000460348,0.000519017,0.0001123954,0.00003844248,0.00004712781,0.0001306362,0.0000286622,0.0006820025],"genre_scores_gemma":[0.9946996,0.0006313213,0.002235929,0.0001523015,0.00004878843,0.0001598424,0.0004303419,0.00002400266,0.001617933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00143618,"threshold_uncertainty_score":0.004804492,"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."}}