{"id":"W4396747363","doi":"10.1089/hum.2023.223","title":"CRISPR-Cas Genome Editing in <i>Ex Vivo</i> Human Lungs to Rewire the Translational Path of Genome-Targeting Therapeutics","year":2024,"lang":"en","type":"article","venue":"Human Gene Therapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Toronto General Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; University Health Network Foundation; Canadian Society of Transplantation; Hospital for Sick Children; University of Toronto","keywords":"Genome editing; Ex vivo; Genome; CRISPR; Biology; Computational biology; Genetics; Gene; In vivo","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":[0.0004256798,0.0002223224,0.0001837955,0.00009472739,0.0001367156,0.00004863482,0.0002983546,0.0001091029,0.0001165372],"category_scores_gemma":[0.000004254107,0.0001855575,0.0001348917,0.0001886231,0.00005348998,0.000005226137,0.00004799974,0.0001630527,0.000004595118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912318,"about_ca_system_score_gemma":0.0000385431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002058807,"about_ca_topic_score_gemma":0.00004685304,"domain_scores_codex":[0.9986551,0.00005579952,0.0003930027,0.0003778977,0.0001961017,0.0003221354],"domain_scores_gemma":[0.9994994,0.00001778484,0.00004817313,0.0003234108,0.00005526242,0.00005592994],"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":[0.00001852345,0.00003179886,0.0002964746,0.00003108281,0.00008169732,0.000005044429,0.002613975,0.002984403,0.9922166,0.0001412836,0.0001357175,0.001443432],"study_design_scores_gemma":[0.00083539,0.0005128206,0.01304866,0.00006312597,0.00003653092,0.00001914623,0.0004951042,0.0004975086,0.8511198,0.0004810111,0.1323218,0.0005691118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720466,0.01817402,0.008155142,0.0003295052,0.0001585087,0.0003622399,0.0000411421,0.00003203148,0.0007007858],"genre_scores_gemma":[0.9970789,0.0005441138,0.0005236277,0.0004220822,0.0009349298,0.00003058741,0.0001205391,0.00006409605,0.0002811101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410968,"threshold_uncertainty_score":0.7566814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661700237873094,"score_gpt":0.3167633459816787,"score_spread":0.3001463436029477,"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."}}