{"id":"W2101994706","doi":"10.1158/0008-5472.can-09-3592","title":"Vascular Endothelial Growth Factor—A Positive and Negative Regulator of Tumor Growth","year":2010,"lang":"en","type":"article","venue":"Cancer Research","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Sunnybrook Health Science Centre; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Angiogenesis; Tumor progression; Vascular endothelial growth factor; Cancer research; Biology; Tumor microenvironment; Metastasis; Haematopoiesis; Context (archaeology); Genetically modified mouse; Tumor initiation; Regulator; Vascular endothelial growth factor A; Cancer; Immunology; Transgene; Cell biology; VEGF receptors; Stem cell; Tumor cells; Genetics; Gene","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":[0.0002961538,0.0001245904,0.0001661026,0.00007414161,0.0001144183,0.00002095736,0.000208682,0.0001167689,0.0001425012],"category_scores_gemma":[0.0002529297,0.0001072901,0.00009377384,0.0001481156,0.0004711649,0.000006327825,0.0001697178,0.0002157079,0.000003264309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002151682,"about_ca_system_score_gemma":0.0002465456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008085306,"about_ca_topic_score_gemma":0.0001780791,"domain_scores_codex":[0.9987499,0.0001025751,0.0001445489,0.0003734794,0.0003111273,0.0003183586],"domain_scores_gemma":[0.9988803,0.00006161127,0.00005196867,0.0002505984,0.000625337,0.0001301828],"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":[0.0001280115,0.00002719066,0.01110403,0.00003777498,0.00008626016,0.00000231233,0.0001208198,3.516256e-7,0.9856317,0.0009806732,0.0007814096,0.001099435],"study_design_scores_gemma":[0.0004721189,0.0001925657,0.03754579,0.0000208897,0.000009359986,0.000003876156,0.00006842866,0.000003984127,0.9576339,0.000331088,0.003591385,0.0001266068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971953,0.00132103,0.00004468678,0.0001540245,0.0001368588,0.0002343388,0.0002253848,0.000004712026,0.0006836488],"genre_scores_gemma":[0.9979182,0.0009169424,0.0001695864,0.0000751235,0.0005059888,0.00007619248,0.00001165626,0.00002777189,0.0002984706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02799782,"threshold_uncertainty_score":0.4375162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267599819654492,"score_gpt":0.3322110957052453,"score_spread":0.3095350975087003,"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."}}