{"id":"W2083796876","doi":"10.1016/j.thromres.2007.03.024","title":"VEGF increases the fibrinolytic activity of endothelial cells within fibrin matrices: Involvement of VEGFR-2, tissue type plasminogen activator and matrix metalloproteinases","year":2007,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute; Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal","funders":"","keywords":"Plasmin; Angiogenesis; Fibrinolysis; Fibrin; Matrix metalloproteinase; Plasminogen activator; Umbilical vein; Cell biology; Chemistry; Proteolysis; Tissue plasminogen activator; Proteases; Biology; Immunology; Cancer research; Biochemistry; In vitro; Endocrinology; Medicine; Internal medicine; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423977,0.0001615262,0.0002657252,0.0001199103,0.0001192754,0.00002175824,0.0003102149,0.0001413832,0.00003363584],"category_scores_gemma":[0.0001907256,0.0001206675,0.00006452337,0.0002721455,0.0002400002,0.00001668438,0.0003522838,0.0001702655,0.000006601337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002612641,"about_ca_system_score_gemma":0.0001708826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009890998,"about_ca_topic_score_gemma":0.00005208531,"domain_scores_codex":[0.9982559,0.0002303402,0.0002850363,0.0003243203,0.0005392689,0.0003651171],"domain_scores_gemma":[0.9989095,0.0001409461,0.0001552342,0.0004680128,0.0002186245,0.0001076803],"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":[0.0004194083,0.0001850705,0.0001442925,0.0001473887,0.0001007273,0.000002265752,0.00008646859,0.000003487404,0.9974232,0.0002145206,0.0001810426,0.001092133],"study_design_scores_gemma":[0.0003750338,0.001480315,0.001046503,0.00006576118,0.00002889019,0.000003456095,0.0001880919,0.00001349153,0.9954631,0.0001864111,0.001027638,0.0001213621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978405,0.001085537,0.00007734367,0.00003805341,0.00004271731,0.0006511147,0.00006858075,0.000007399209,0.0001887467],"genre_scores_gemma":[0.9985276,0.0005053094,0.0005825897,0.00001638761,0.0001429113,0.00001806418,0.00001213684,0.00002053621,0.0001744483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001960149,"threshold_uncertainty_score":0.4920677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053666511640167,"score_gpt":0.3502078635200564,"score_spread":0.2996711984036547,"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."}}