{"id":"W2941016857","doi":"10.1080/07357907.2019.1601209","title":"Antitumor and Antiangiogenic Activities of Lenvatinib in Mouse Xenograft Models of Vascular Endothelial Growth Factor-Induced Hypervascular Human Hepatocellular Carcinoma","year":2019,"lang":"en","type":"article","venue":"Cancer Investigation","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eisai Canada; Eisai","keywords":"Lenvatinib; Cancer research; Vascular endothelial growth factor; Hepatocellular carcinoma; Medicine; Angiogenesis; Umbilical vein; Receptor tyrosine kinase; Kinase insert domain receptor; Vascular endothelial growth factor A; Internal medicine; Sorafenib; VEGF receptors; Receptor; Biology; In vitro","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000251297,0.0004846024,0.000425387,0.0004407987,0.000145476,0.0002262725,0.000167105,0.0002540449,0.0009780583],"category_scores_gemma":[0.00007282537,0.0001717652,0.0002355741,0.0002796124,0.0001744964,0.0002555338,0.00009724328,0.0008730378,0.0001694024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430223,"about_ca_system_score_gemma":0.0003173799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000884944,"about_ca_topic_score_gemma":0.001218408,"domain_scores_codex":[0.9998229,0.00005242507,0.00001494771,0.00002073554,0.00004040081,0.00004867015],"domain_scores_gemma":[0.9999185,0.00001142988,0.00001635084,0.00001083323,0.0000101706,0.00003285484],"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":[0.0006670148,0.0004305445,0.0002468486,0.00004627709,0.00001632377,0.00004577883,0.00001425514,0.0002705784,0.9954956,0.0001170152,0.00008050649,0.002569147],"study_design_scores_gemma":[0.00009020676,0.002617889,0.002872108,0.000004553306,0.00003066425,0.0001844514,0.0000181025,0.002088726,0.9909271,0.00003994188,0.001120707,0.000005490031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943675,0.001824306,0.001619978,0.00009562136,0.00004013663,0.00005291653,0.0003978091,0.00009467386,0.001507017],"genre_scores_gemma":[0.994884,0.001165873,0.001498272,0.00004034872,0.00001274766,0.00006592042,0.0005243859,0.00001591589,0.001792475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009780583,"threshold_uncertainty_score":0.003271937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175972106769036,"score_gpt":0.2478367026457347,"score_spread":0.2160769815780443,"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."}}