{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002956007,0.0003173883,0.0002595569,0.0002241247,0.0001491498,0.000415843,0.0001225077,0.0003578472,0.001795129],"category_scores_gemma":[0.0003589836,0.0001542618,0.0002940314,0.0001311055,0.0001932194,0.0003710015,0.0001995835,0.0004510984,0.0002743283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695262,"about_ca_system_score_gemma":0.0002224598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000769675,"about_ca_topic_score_gemma":0.0007465702,"domain_scores_codex":[0.9997181,0.00008721441,0.00001669193,0.00003000581,0.00006311904,0.00008474096],"domain_scores_gemma":[0.9998088,0.00004361006,0.00004287887,0.00001831363,0.00002775103,0.00005862793],"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":[0.0006614472,0.00007880367,0.0003344796,0.00006993394,0.0000115772,0.0001425779,0.00002627239,0.00004323701,0.9934652,0.0002585702,0.0001460554,0.004761827],"study_design_scores_gemma":[0.0001220363,0.001215202,0.02036168,0.00002073265,0.00004723019,0.001467757,0.00007042837,0.0009907249,0.9694289,0.0002701415,0.00599537,0.000009725182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746897,0.0173036,0.003871745,0.000414411,0.0001340212,0.00002886677,0.000167904,0.00008018448,0.003309734],"genre_scores_gemma":[0.9922883,0.002454286,0.001581092,0.0001058095,0.00006924704,0.00002273081,0.0001455663,0.00001250218,0.003320552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001795129,"threshold_uncertainty_score":0.006005347,"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."}}