{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006395619,0.0005521365,0.000477705,0.0004947817,0.0003083463,0.0004790236,0.0004849972,0.0006795109,0.001928566],"category_scores_gemma":[0.0002983274,0.0002205117,0.0003977745,0.0003589019,0.0005737831,0.0004105837,0.0005977363,0.0009987892,0.0007702624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003879666,"about_ca_system_score_gemma":0.0002537532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000210561,"about_ca_topic_score_gemma":0.0003455346,"domain_scores_codex":[0.9995153,0.0001163039,0.00002750127,0.00009465375,0.0001996848,0.00004648966],"domain_scores_gemma":[0.9998808,0.00003653466,0.00003275618,0.00001606161,0.00001140243,0.00002237257],"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":[0.00004030426,0.00003302907,0.00006113695,0.0001963841,0.00001492794,0.0001217049,0.00003452674,0.0005565354,0.9866437,0.001752862,0.0004197048,0.01012504],"study_design_scores_gemma":[0.00001750114,0.0002477879,0.000358149,0.00002173636,0.00002339156,0.0007032188,0.00001738726,0.004142566,0.9743345,0.0005435701,0.01957126,0.00001895687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2659486,0.01677808,0.6983144,0.001314053,0.0006868297,0.0007312334,0.0008155284,0.002614422,0.01279685],"genre_scores_gemma":[0.7480441,0.009582887,0.2280575,0.0004594284,0.00007451169,0.0003260359,0.0009164365,0.0002093995,0.01232973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001928566,"threshold_uncertainty_score":0.006451726,"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."}}