{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001277445,0.0001689877,0.000293772,0.0001026354,0.0000320759,0.000008572326,0.0001298296,0.0001403565,0.00002021361],"category_scores_gemma":[0.0000127125,0.0001717343,0.0001537178,0.0001220838,0.0001304921,0.00002420807,0.00005889982,0.00005631568,5.570361e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002427612,"about_ca_system_score_gemma":0.0001252671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058174,"about_ca_topic_score_gemma":0.00005592705,"domain_scores_codex":[0.9989462,0.00006879017,0.0003072073,0.0003245658,0.000178004,0.0001752541],"domain_scores_gemma":[0.9993708,0.000008908068,0.0001857569,0.0002867644,0.00009269385,0.00005508045],"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":[0.00001388189,0.00001449103,0.3672389,0.0001207693,0.00005052687,3.254138e-7,0.0001395403,0.0001037962,0.6320634,0.0001759896,0.000007681097,0.00007063814],"study_design_scores_gemma":[0.0007916995,0.0001404259,0.052088,0.00005443124,0.00002892199,9.795175e-7,0.00009025889,0.0008745957,0.9455639,0.0001392574,0.00004811645,0.0001794401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963641,0.003012819,0.00008384352,0.00001431605,0.00007343614,0.0003182378,0.00008311974,0.000005978705,0.00004414197],"genre_scores_gemma":[0.9990842,0.0004712795,0.0001393927,0.00004570167,0.00007160529,0.00003591429,0.00006274384,0.00002945835,0.00005971995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3151509,"threshold_uncertainty_score":0.700312,"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."}}