{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009121173,0.0001552695,0.0001453917,0.0000777882,0.00006758179,0.000005949933,0.0001186865,0.0002547296,0.000009615814],"category_scores_gemma":[0.000004484904,0.0001441363,0.00004785119,0.00009329148,0.0001325765,0.000001927142,0.00001704907,0.0001043125,1.506374e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003309757,"about_ca_system_score_gemma":0.00007429146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002424644,"about_ca_topic_score_gemma":0.00002528626,"domain_scores_codex":[0.9991845,0.000006728246,0.0001975874,0.0003205654,0.00009185507,0.0001987658],"domain_scores_gemma":[0.999681,0.000003790738,0.00005334655,0.0001748017,0.00004655317,0.00004049195],"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":[0.00007872767,0.00002941133,0.0002175107,0.00001219484,0.00007846591,7.657508e-7,0.00005406903,0.0002302433,0.9817416,0.0007002022,0.000009156645,0.01684763],"study_design_scores_gemma":[0.0007423973,0.0001202394,0.002336959,0.000004050256,0.00000829003,0.00001942292,0.0000142982,0.0001026861,0.9556251,0.00005418396,0.04079734,0.0001750099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440135,0.003707591,0.2517746,0.0002062766,0.00006580409,0.0001910318,0.00001942703,0.00001576089,0.000006027203],"genre_scores_gemma":[0.8074374,0.0003176927,0.1919754,0.00003018107,0.00004500913,0.0000617453,0.00009678778,0.00002611308,0.00000967902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06342389,"threshold_uncertainty_score":0.5877709,"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."}}