{"id":"W2909954685","doi":"10.3390/genes10010039","title":"TALEN-Mediated Gene Targeting for Cystic Fibrosis-Gene Therapy","year":2019,"lang":"en","type":"article","venue":"Genes","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"Peking University; Cystic Fibrosis Canada; Canadian Institutes of Health Research; Cystic Fibrosis Foundation Therapeutics","keywords":"Transcription activator-like effector nuclease; Biology; Genome editing; Genetic enhancement; Cystic fibrosis; Gene targeting; Cystic fibrosis transmembrane conductance regulator; Minigene; Reporter gene; Gene delivery; Gene; Nuclease; Gene expression; Molecular biology; Cell biology; Genetics; CRISPR; Exon","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001202924,0.0001609837,0.0001389629,0.00003053251,0.00005043516,0.00001870888,0.0001469642,0.0001183883,0.0000394063],"category_scores_gemma":[0.00003581623,0.0001524032,0.0001042631,0.00005818856,0.00001700678,0.00000209414,0.00004696335,0.00003497166,0.00003714567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006243403,"about_ca_system_score_gemma":0.00003048989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005098405,"about_ca_topic_score_gemma":0.000002028881,"domain_scores_codex":[0.9991287,0.0000150652,0.0001667329,0.0003183868,0.0000814232,0.0002897109],"domain_scores_gemma":[0.9995413,0.00002339836,0.00004116393,0.0002690828,0.00006131555,0.00006376474],"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":[0.00006079027,0.00001631702,0.001117346,0.00002463756,0.00003994013,4.516296e-7,0.00002738632,0.001799853,0.9929229,0.000003317825,0.000799568,0.003187473],"study_design_scores_gemma":[0.000663634,0.0002224654,0.001030629,0.000004596528,0.000007491567,0.000004954353,0.00002787863,0.0005884903,0.9021651,0.00001335587,0.09506363,0.0002078141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651119,0.01440101,0.01944558,0.00004391933,0.0004497137,0.0003665698,0.00006878097,0.00002935255,0.00008324741],"genre_scores_gemma":[0.9880649,0.000996719,0.008771652,0.0001451214,0.0005458501,0.00006465212,0.0006172584,0.00004738956,0.0007464362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09426406,"threshold_uncertainty_score":0.6214823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995823927522017,"score_gpt":0.2607708778753525,"score_spread":0.2547750539478305,"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."}}