{"id":"W4380086369","doi":"10.1182/blood.2022019333","title":"Lipid nanoparticles allow efficient and harmless ex vivo gene editing of human hematopoietic cells","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; European Hematology Association","keywords":"Electroporation; Ex vivo; Genome editing; Biology; Cell biology; Haematopoiesis; Progenitor cell; Gene delivery; Stem cell; Genetic enhancement; Molecular biology; In vivo; Gene; CRISPR; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934025,0.0003110331,0.000198146,0.0001638861,0.0001018489,0.0003694477,0.0001605282,0.000388529,0.0007643146],"category_scores_gemma":[0.000184012,0.000128417,0.0001762727,0.00009463103,0.0001953244,0.0002125308,0.0003404891,0.0004252321,0.0003860073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053164,"about_ca_system_score_gemma":0.000179387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002449976,"about_ca_topic_score_gemma":0.0003521833,"domain_scores_codex":[0.9998626,0.00002876458,0.000009036738,0.00003713294,0.00004125514,0.00002128032],"domain_scores_gemma":[0.9999202,0.00001818459,0.000025686,0.00001253776,0.0000129393,0.00001042979],"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":[0.00003002662,0.000007661297,0.0000327714,0.0000368483,0.000003334207,0.00003530932,0.00001041702,0.0001021352,0.9971889,0.0001921618,0.00005337439,0.002307128],"study_design_scores_gemma":[0.000005368283,0.00005297619,0.0001743345,0.000004221316,0.000008896907,0.0001138373,0.000005018447,0.0004229973,0.9954858,0.00007443013,0.003649187,0.000002863292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8268591,0.006846422,0.1556511,0.0005752625,0.0001574392,0.0001752597,0.0009147297,0.00139142,0.0074294],"genre_scores_gemma":[0.9676062,0.002045352,0.02403924,0.000129053,0.0000154849,0.00007637841,0.0004499608,0.000112922,0.005525392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007643146,"threshold_uncertainty_score":0.00255686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007610037621833489,"score_gpt":0.2594565427466761,"score_spread":0.2518465051248426,"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."}}