{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001675254,0.0002603979,0.0003716334,0.0001628878,0.00009925112,0.00004997423,0.00008030396,0.00006638671,0.000006671752],"category_scores_gemma":[0.00001608103,0.0001661878,0.00004540188,0.0001037315,0.0002959915,0.00002605114,0.0001630996,0.00007082861,7.285323e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486113,"about_ca_system_score_gemma":0.0001145472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004354872,"about_ca_topic_score_gemma":0.0001959457,"domain_scores_codex":[0.9983273,0.0002628413,0.0001954145,0.0005194351,0.0002044417,0.0004906323],"domain_scores_gemma":[0.9992716,0.0001334525,0.00004557454,0.0002050488,0.00008405352,0.000260265],"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":[0.002090981,0.0001617369,0.01597096,0.0001077957,0.0002623534,0.00009797022,0.0002511127,0.00004412272,0.9552445,0.000002157762,0.00001102885,0.02575522],"study_design_scores_gemma":[0.006732025,0.003514634,0.001824849,0.0001491086,0.00002901216,0.000008681351,0.00009332113,0.0008050302,0.9866774,0.000007451664,0.00001195389,0.0001465057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816694,0.01696982,0.00005016913,0.00005537973,0.00001493502,0.0007798287,0.0004448069,0.000004998084,0.00001069308],"genre_scores_gemma":[0.9930487,0.00620675,0.00004713318,0.000004359518,0.0000274473,0.0004765394,0.00005445978,0.00002748086,0.0001071359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03143287,"threshold_uncertainty_score":0.6776942,"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."}}