{"id":"W3204546574","doi":"10.30683/1929-2279.2020.09.01","title":"A HPLC-UV Method for the Quantification of Regorafenib in Tumor","year":2020,"lang":"en","type":"article","venue":"Journal of cancer research updates","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regorafenib; Hepatocellular carcinoma; Chromatography; High-performance liquid chromatography; Chemistry; Protein precipitation; Calibration curve; Colorectal cancer; Medicine; Detection limit; Cancer; Cancer research; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001269207,0.00006417555,0.0003164516,0.0001197624,0.00006521191,0.00001407234,0.0001177164,0.00001949622,0.00007508443],"category_scores_gemma":[0.0007411386,0.00003474116,0.0001077637,0.0004171603,0.0001093129,0.00006363386,0.00003572498,0.0002620706,9.558313e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315407,"about_ca_system_score_gemma":0.0003765638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003543271,"about_ca_topic_score_gemma":0.0002167813,"domain_scores_codex":[0.9987854,0.00009943591,0.0003638424,0.0001050005,0.0004709985,0.0001753011],"domain_scores_gemma":[0.9982611,0.0006139539,0.0001845884,0.00009936362,0.0007632403,0.00007776121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.06685266,0.001434822,0.131309,0.002337162,0.003898008,0.0003760799,0.01862291,0.001270843,0.2276866,0.00523273,0.1631731,0.3778062],"study_design_scores_gemma":[0.01444887,0.01076918,0.2286979,0.00121202,0.000667195,0.0001053844,0.01253442,0.0124177,0.332862,0.002765652,0.3832356,0.0002840961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6996733,0.05301805,0.003606996,0.2404858,0.0002784866,0.002126,0.00007427206,0.00001039132,0.000726704],"genre_scores_gemma":[0.9937511,0.003016885,0.002470484,0.0002551156,0.0002940093,0.0000661985,0.000001362346,0.00001109423,0.0001337562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3775221,"threshold_uncertainty_score":0.1416703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1889543535273495,"score_gpt":0.5099325438452998,"score_spread":0.3209781903179503,"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."}}