{"id":"W1516614930","doi":"10.1016/s0014-4827(02)00044-7","title":"Inhibition of breast carcinoma and trophoblast cell invasiveness by vascular endothelial growth factor ☆☆This study was supported by grants from the Heart and Stroke Foundation of Ontario (T-3361) and the Canadian Institutes of Health Research (MT-15021) awarded to CHG. TEF was the recipient of a Joint Heart and Stroke Foundation of Canada (HSFC)/Medical Research Council of Canada (MRC) Doctoral Studentship, CHG was a Research Scholar of the Heart and Stroke Foundation of Canada and GEL was a Post-Doctoral Fellow of the Canadian Hypertension Society.","year":2003,"lang":"en","type":"article","venue":"Experimental Cell Research","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biology; Trophoblast; Matrigel; Vascular endothelial growth factor; Cancer research; Vascular endothelial growth factor A; Vascular endothelial growth factor C; Cell biology; Internal medicine; Endocrinology; Angiogenesis; Placenta; Medicine; VEGF receptors","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004728501,0.0003806322,0.0003984796,0.0005046509,0.0003751107,0.0002824673,0.0003703119,0.0001998373,0.007951829],"category_scores_gemma":[0.0004743998,0.0001712262,0.0005655899,0.0003290843,0.0003841236,0.0002117727,0.0003231748,0.0007970167,0.001415477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025779,"about_ca_system_score_gemma":0.001313968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02462137,"about_ca_topic_score_gemma":0.02418179,"domain_scores_codex":[0.9996955,0.00007999554,0.00001341053,0.0000221004,0.0001035973,0.0000853882],"domain_scores_gemma":[0.9996077,0.00009410652,0.00002170069,0.00005820192,0.00007891816,0.0001394458],"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":[0.003512533,0.0005950145,0.002085523,0.0003716602,0.00007862686,0.0009196423,0.0004972097,0.0004260002,0.9542076,0.003723834,0.00859064,0.02499179],"study_design_scores_gemma":[0.0005681358,0.003928606,0.05145893,0.00007137497,0.0001413873,0.003183982,0.0004700644,0.003205579,0.8606576,0.0009257185,0.07535233,0.00003630381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932514,0.006695371,0.003840429,0.00416012,0.0004915114,0.0003753192,0.004269274,0.0002495156,0.04740454],"genre_scores_gemma":[0.9490012,0.005714785,0.002562543,0.0002043208,0.000108761,0.0001764375,0.003029433,0.00006778939,0.03913481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02462137,"threshold_uncertainty_score":0.0489561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06994428915388008,"score_gpt":0.3022347809767802,"score_spread":0.2322904918229002,"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."}}