{"id":"W2016836925","doi":"10.1111/j.1538-7836.2009.03662.x","title":"Cleaved high molecular weight kininogen inhibits tube formation of endothelial progenitor cells via suppression of matrix metalloproteinase 2","year":2009,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Vasculogenesis; High-molecular-weight kininogen; Angiogenesis; Progenitor cell; Kininogen; Cell biology; Matrix metalloproteinase; Chemistry; Vascular endothelial growth factor; Endothelial progenitor cell; Neovascularization; Immunology; Biology; Cancer research; Stem cell; Kallikrein; Biochemistry; VEGF receptors","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002984793,0.0003556593,0.0003515101,0.0002967746,0.0001936183,0.0004769451,0.0002790305,0.0002943212,0.001785315],"category_scores_gemma":[0.0003367815,0.0001934761,0.0002953834,0.0001540097,0.0003218738,0.0002891479,0.0001956646,0.001252982,0.0003988517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734452,"about_ca_system_score_gemma":0.0003081603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003579601,"about_ca_topic_score_gemma":0.00047887,"domain_scores_codex":[0.9997361,0.00008761982,0.00002259346,0.0000227549,0.00005140112,0.00007953399],"domain_scores_gemma":[0.999831,0.00005424178,0.00003545382,0.00002648484,0.00001197284,0.00004091964],"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":[0.0008082177,0.0002604955,0.0001368549,0.00004125223,0.00001410349,0.0001049739,0.00002974953,0.00009692783,0.9960899,0.0002629914,0.0001429062,0.002011545],"study_design_scores_gemma":[0.0001949565,0.001591348,0.003491075,0.000005844348,0.00003024683,0.0003532981,0.0000406972,0.001435448,0.9911947,0.0001283164,0.00152772,0.000006358548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953293,0.001227315,0.001807535,0.0001443011,0.00005662502,0.0000415558,0.0001108309,0.00006040241,0.001222281],"genre_scores_gemma":[0.9968975,0.0005397977,0.0009749202,0.00004564084,0.00001941111,0.00003860301,0.0001880023,0.000008387734,0.001287753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001785315,"threshold_uncertainty_score":0.005972445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054112182710663,"score_gpt":0.2896684375667782,"score_spread":0.2691273157396715,"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."}}