{"id":"W4389248538","doi":"10.1182/blood-2023-185007","title":"Non-Viral RNA-Lipid Nanoparticles for High Efficiency Genome Editing of CD34+ Hematopoietic Stem and Progenitor Cells for Advanced Cell and Gene Therapies","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Precision Nanosystems (Canada)","funders":"","keywords":"Progenitor cell; Haematopoiesis; Stem cell; CD34; Biology; Cord blood; Gene delivery; Hematopoietic stem cell; Genetic enhancement; Cell biology; Molecular biology; Immunology; Gene; 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":[0.0001997695,0.0003650002,0.0001430694,0.0002019657,0.0001076747,0.0002167717,0.0001974702,0.0003507882,0.0007079479],"category_scores_gemma":[0.0001417148,0.0001238165,0.0002136481,0.0001010976,0.000150878,0.0001555405,0.0002393062,0.0003387594,0.0003833857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002778855,"about_ca_system_score_gemma":0.0002408979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013402,"about_ca_topic_score_gemma":0.0004179745,"domain_scores_codex":[0.9998558,0.00002049571,0.00000903223,0.00003301887,0.00006329852,0.00001833451],"domain_scores_gemma":[0.9999461,0.0000110024,0.00002005522,0.000005244216,0.000009774993,0.000007819644],"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":[0.0000147074,0.00001215915,0.00003677621,0.00003715426,0.0000020355,0.00003132204,0.000008301865,0.0002024181,0.9974433,0.000154514,0.0000522812,0.002005011],"study_design_scores_gemma":[0.00000599197,0.000073027,0.0001610957,0.000003143449,0.0000054443,0.00007972541,0.000003393787,0.001521614,0.9963721,0.00003875351,0.001732228,0.000003450725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8458209,0.002667336,0.1451549,0.0002808175,0.00008938275,0.0003838477,0.0005045501,0.0007034307,0.004394952],"genre_scores_gemma":[0.9270129,0.00103595,0.06717378,0.0001023668,0.00001366168,0.0002278878,0.0003052633,0.00006172574,0.00406648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007079479,"threshold_uncertainty_score":0.002368331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005069234897384554,"score_gpt":0.2347832497861119,"score_spread":0.2297140148887273,"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."}}