{"id":"W3000328330","doi":"10.1016/j.rvsc.2020.01.005","title":"Antitumor and anti-angiogenic effects of artemisinin on breast tumor xenografts in nude mice","year":2020,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministry of Training, Colleges and Universities","keywords":"Artemisinin; Angiogenesis; Vascular endothelial growth factor; Pharmacology; Medicine; Chemistry; Internal medicine; Immunology; Endocrinology; VEGF receptors","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":[0.000842479,0.0000992943,0.0001511656,0.000241815,0.00006624324,0.00002522208,0.0003789063,0.00004137311,0.000004479796],"category_scores_gemma":[0.0001536706,0.00009192251,0.00003839704,0.001057217,0.0006269402,0.0000134173,0.0003154052,0.0001149301,0.000005638219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002546585,"about_ca_system_score_gemma":0.0002293747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004182559,"about_ca_topic_score_gemma":0.000002445855,"domain_scores_codex":[0.9984205,0.0001321109,0.0001683618,0.0004932412,0.0003669299,0.0004188832],"domain_scores_gemma":[0.9994826,0.00005419379,0.00003463163,0.0002124644,0.00006667958,0.0001494601],"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":[0.0001487495,0.00007111903,0.0113135,0.0001122486,0.00000311989,0.0001302162,0.00007384799,0.00002203478,0.9868436,0.00003649474,0.00007602417,0.001169038],"study_design_scores_gemma":[0.0009804999,0.003911981,0.4847909,0.0003278787,0.000002394688,0.0001864472,0.0001543128,0.0005641899,0.5069104,0.00001745264,0.001899596,0.0002539645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979838,0.001211532,0.000009329989,0.0002883121,0.00005067797,0.0002064334,0.00001006232,0.000003128187,0.0002367853],"genre_scores_gemma":[0.9992795,0.0003255401,0.0001514797,0.000131733,0.00007336104,0.00001422248,0.000002282434,0.00000910274,0.00001279208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4799332,"threshold_uncertainty_score":0.3748491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05554818989795519,"score_gpt":0.3643031546003492,"score_spread":0.3087549647023941,"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."}}