{"id":"W4402391375","doi":"10.1016/j.cell.2024.07.023","title":"Safe and effective in vivo delivery of DNA and RNA using proteolipid vehicles","year":2024,"lang":"en","type":"article","venue":"Cell","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Nova Scotia Health Research Foundation; Prostate Cancer Canada; Canadian Institutes of Health Research; Alberta Cancer Foundation; Mitacs; Natural Sciences and Engineering Research Council of Canada; Dalhousie Medical Research Foundation","keywords":"Biology; Electroporation; Gene delivery; Immunogenicity; Genetic enhancement; Virology; Gene; Bioinformatics; Computational biology; Immunology; Genetics; Immune system","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":[0.00006572426,0.00006781305,0.00007885164,0.0000393732,0.00001281963,0.0000126413,0.00003348979,0.00006520171,0.000005727518],"category_scores_gemma":[0.00000572557,0.00006181446,0.00002090974,0.00003673932,0.00005225416,0.000003691184,0.00005886455,0.0000424306,0.000001206597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004978272,"about_ca_system_score_gemma":0.00002198132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004952305,"about_ca_topic_score_gemma":0.00001285957,"domain_scores_codex":[0.9996029,0.0000232346,0.00008550379,0.0001749068,0.0000301991,0.00008327865],"domain_scores_gemma":[0.9998612,0.00001102407,0.00001633527,0.00007043931,0.0000180582,0.00002291714],"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":[0.00003422675,0.00001132732,0.0008175249,0.0001161739,0.00001067429,0.000004937568,0.0001083479,0.000008672921,0.9952673,0.000003496441,0.0001173052,0.003500064],"study_design_scores_gemma":[0.0001570834,0.0001603041,0.0009707393,0.00007428253,0.000009740793,0.000006020676,0.00006344247,0.0005199455,0.9968321,0.00004879283,0.001085849,0.00007168412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941564,0.004706295,0.0000569898,0.000009683014,0.00006110244,0.0001391041,0.000008445659,0.000002666245,0.0008593163],"genre_scores_gemma":[0.9991357,0.0004660853,0.0001360069,0.00002715187,0.00005733324,0.000006168634,0.000002337342,0.00000695233,0.0001622154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004979352,"threshold_uncertainty_score":0.2520721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007371168535700206,"score_gpt":0.2306661920893271,"score_spread":0.2232950235536269,"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."}}