{"id":"W2346999680","doi":"10.4143/crt.2015.503","title":"Anti-proliferative Effect of Engineered Neural Stem Cells Expressing Cytosine Deaminase and Interferon-β against Lymph Node–Derived Metastatic Colorectal Adenocarcinoma in Cellular and Xenograft Mouse Models","year":2016,"lang":"en","type":"article","venue":"Cancer Research and Treatment","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Cytosine deaminase; Medicine; Colorectal adenocarcinoma; Cancer research; Lymph node; Adenocarcinoma; Stem cell; Interferon; Neural stem cell; Lymph; Colon adenocarcinoma; Pathology; Immunology; Gene; Internal medicine; Genetic enhancement; Cell biology; Cancer; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001115524,0.000281522,0.0001967574,0.0001747337,0.00006042026,0.0001272468,0.0001090698,0.000198823,0.0005893905],"category_scores_gemma":[0.00004249693,0.00007390267,0.0001788162,0.00009731527,0.0001196059,0.00009059569,0.00006770146,0.000368397,0.0001092946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267364,"about_ca_system_score_gemma":0.0001299607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005036235,"about_ca_topic_score_gemma":0.001022985,"domain_scores_codex":[0.9999321,0.00001023442,0.00000620904,0.00001176998,0.00002285932,0.00001689962],"domain_scores_gemma":[0.9999559,0.000006409999,0.00001122878,0.000004635939,0.000005963277,0.00001594684],"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":[0.0002678928,0.0001476734,0.000167213,0.00006078285,0.000007373557,0.00003742345,0.00001746076,0.0001056724,0.9966577,0.00005783409,0.00005134142,0.002421679],"study_design_scores_gemma":[0.00006952171,0.001688134,0.002803543,0.000008506081,0.00003991032,0.0001540797,0.00002531405,0.0009530321,0.9924121,0.00001439751,0.001828093,0.000003267767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971703,0.00109765,0.0007582074,0.00003905883,0.00003169131,0.0000226144,0.0001201913,0.00002898857,0.0007312727],"genre_scores_gemma":[0.9962593,0.0007579179,0.001278376,0.00003638447,0.000007746656,0.00002825406,0.0002491098,0.000005395483,0.001377506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005893905,"threshold_uncertainty_score":0.001971722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479737914776648,"score_gpt":0.3088606917324351,"score_spread":0.2740633125846686,"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."}}