{"id":"W4293334925","doi":"10.1016/j.jconrel.2022.08.042","title":"LNP-mediated delivery of CRISPR RNP for wide-spread in vivo genome editing in mouse cornea","year":2022,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Incisive Genetics (Canada); BC Children's Hospital; University of British Columbia","funders":"","keywords":"Genome editing; CRISPR; Ribonucleoprotein; Cas9; Guide RNA; Computational biology; Genome; Cornea; Ex vivo; Cell biology; Biology; In vivo; RNA; Genetics; Gene; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000650288,0.0001250327,0.000443298,0.000217763,0.00003396027,0.00000749568,0.000187539,0.00007101582,0.00003629758],"category_scores_gemma":[0.0006104163,0.0001207526,0.0002246442,0.0001155415,0.00002039457,0.000005273713,0.00006215213,0.0002192425,2.289684e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004546589,"about_ca_system_score_gemma":0.0001421524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002105271,"about_ca_topic_score_gemma":0.0000532729,"domain_scores_codex":[0.9986519,0.00008696118,0.0007206661,0.0001369382,0.0001813689,0.0002221213],"domain_scores_gemma":[0.9991431,0.0001399357,0.0003557855,0.0001353196,0.000144635,0.00008122792],"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":[0.003591465,0.0001786519,0.001734514,0.00003695214,0.00009219164,0.00004780135,0.0001046264,0.07027236,0.9229428,0.000004718812,0.0006839467,0.0003100256],"study_design_scores_gemma":[0.1408611,0.006344061,0.005831793,0.0001877779,0.0003300135,0.0002633215,0.003491647,0.04401604,0.7489159,0.0001648464,0.04844696,0.001146513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990877,0.003812095,0.004448562,0.0001401971,0.0002411853,0.0003511891,0.00006290629,0.000002526563,0.00006430073],"genre_scores_gemma":[0.9988135,0.0002887624,0.0003112273,0.0001371281,0.0002128685,0.00003707584,0.00001373371,0.00002126263,0.0001644848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1740269,"threshold_uncertainty_score":0.4924149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005604476592208423,"score_gpt":0.2513862389881965,"score_spread":0.2457817623959881,"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."}}