{"id":"W1994138031","doi":"10.1007/s12033-010-9244-y","title":"Development of Chimeric Gene Regulators for Cancer-specific Gene Therapy with both Transcriptional and Translational Targeting","year":2010,"lang":"en","type":"article","venue":"Molecular Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"State Key Laboratory of Genetic Engineering; University of British Columbia; Fudan University","keywords":"Biology; Genetic enhancement; Untranslated region; Enhancer; Transcriptional regulation; Gene; Chimeric gene; Transfection; Gene expression; Regulation of gene expression; Cancer research; Suicide gene; Regulator; Translational efficiency; Three prime untranslated region; YY1; Molecular biology; Promoter; Messenger RNA; Genetics; Translation (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008982209,0.000762121,0.0006176411,0.0005681295,0.0002501922,0.0006490806,0.0008193409,0.0008774729,0.001774585],"category_scores_gemma":[0.0004788659,0.0004259922,0.0006715697,0.0003268182,0.0006367016,0.0005786496,0.0004432385,0.001478151,0.0006876962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058242,"about_ca_system_score_gemma":0.0005214777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004074552,"about_ca_topic_score_gemma":0.0006163295,"domain_scores_codex":[0.9995478,0.00006405896,0.0000337538,0.0001115326,0.0001682089,0.00007464309],"domain_scores_gemma":[0.9995841,0.0001208963,0.0001307987,0.00005894897,0.00004822249,0.00005695316],"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":[0.00004675125,0.00002200159,0.00005166267,0.00003466764,0.000007523927,0.0000284832,0.00001368537,0.0002832699,0.9957349,0.001460492,0.0001008843,0.002215817],"study_design_scores_gemma":[0.00001809698,0.00008636041,0.0001666872,0.000005466433,0.00002313227,0.0001388987,0.000006921557,0.001574674,0.9928617,0.0001197482,0.004991277,0.000007026768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.55763,0.006148551,0.4212588,0.000811139,0.0003530279,0.0006521947,0.001154642,0.002536847,0.009454753],"genre_scores_gemma":[0.8703265,0.002819535,0.1155508,0.0002126521,0.00005802784,0.000411045,0.001512515,0.0004126952,0.00869632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001774585,"threshold_uncertainty_score":0.005936563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006101142208465945,"score_gpt":0.2464908661904067,"score_spread":0.2403897239819407,"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."}}