{"id":"W4285240041","doi":"10.1016/j.csbj.2022.06.015","title":"Development and clinical translation of <i>ex vivo</i> gene therapy","year":2022,"lang":"en","type":"review","venue":"Computational and Structural Biotechnology Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Science Foundation of Fuzhou; Natural Science Foundation of Fujian Province","keywords":"Genetic enhancement; Genome editing; Ex vivo; Medicine; Viral vector; Computational biology; Vector (molecular biology); Translational medicine; Bioinformatics; Biology; Gene; Biotechnology; Genome; In vivo; Pathology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006458219,0.0004548415,0.0006691317,0.001109826,0.0001309949,0.000922464,0.0005378059,0.0009646345,0.003211341],"category_scores_gemma":[0.0006511422,0.0001766715,0.0004818876,0.0006386404,0.000367462,0.0008039074,0.0004246595,0.00159398,0.001922635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940011,"about_ca_system_score_gemma":0.0006882219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003800131,"about_ca_topic_score_gemma":0.0005671881,"domain_scores_codex":[0.9998006,0.00003458297,0.00002212347,0.00003260595,0.00008994605,0.00002011424],"domain_scores_gemma":[0.9997526,0.0001246202,0.00003553624,0.0000102835,0.00005715403,0.00001976474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007062864,0.00007417165,0.0001495569,0.01125951,0.00005298292,0.0002553813,0.00004850667,0.0005201426,0.0104249,0.01159451,0.02229077,0.943259],"study_design_scores_gemma":[0.00001577876,0.0001320535,0.000433544,0.001853772,0.00005443152,0.001341167,0.00002675665,0.0001787488,0.004826419,0.002449689,0.9886732,0.00001461774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006192887,0.9907766,0.001930372,0.0006523073,0.000597603,0.00002012527,0.00005973161,0.00003866034,0.005305445],"genre_scores_gemma":[0.003296389,0.9921253,0.001300715,0.0005303325,0.0002553667,0.00002159358,0.00008071738,0.000008413735,0.002381088],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003211341,"threshold_uncertainty_score":0.01074302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992504770784148,"score_gpt":0.3663351205042965,"score_spread":0.326410072796455,"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."}}