{"id":"W3175601579","doi":"10.1002/adhm.202100847","title":"The Delivery Challenge of Genome Editing in Human Epithelia","year":2021,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Ikerbasque, Basque Foundation for Science","keywords":"Genome editing; CRISPR; Gene delivery; Translation (biology); Computational biology; Cas9; Computer science; Genetic enhancement; Gene; Biology; Genetics; Messenger RNA","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":[0.0002015817,0.00008966364,0.0001507738,0.00001660006,0.00007364427,0.000009517537,0.0001004118,0.00007119018,0.0000112961],"category_scores_gemma":[0.00005316874,0.00008000059,0.00003010332,0.00004762283,0.0000258293,0.000002132801,0.00008330306,0.00004546184,0.000001331968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001266337,"about_ca_system_score_gemma":0.00004024287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000502761,"about_ca_topic_score_gemma":0.0004088229,"domain_scores_codex":[0.9991465,0.00006571695,0.0003007555,0.0001934359,0.00006894424,0.0002246829],"domain_scores_gemma":[0.9995168,0.00001415119,0.00007119373,0.0002703928,0.0000910783,0.00003641185],"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":[0.00001475083,0.00001020471,0.0001107061,0.0000989508,0.000006945751,0.000005042748,0.00006775776,0.0001831617,0.9964864,0.0003145733,0.000005703015,0.002695849],"study_design_scores_gemma":[0.0002431834,0.00008823757,0.002918859,0.0000431392,0.000002211488,0.000004177162,0.0002543073,0.000001423601,0.9894733,0.0003008572,0.006584052,0.0000862067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991245,0.007358299,0.00017079,0.0005970104,0.0003506131,0.0001194501,0.00003920127,0.000006592206,0.0001130812],"genre_scores_gemma":[0.9965016,0.002580538,0.0004177792,0.00006889989,0.0002466079,0.00002346301,0.00007675989,0.000016905,0.00006740034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007013009,"threshold_uncertainty_score":0.326233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172291266480937,"score_gpt":0.3232173990819709,"score_spread":0.3114944864171615,"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."}}