{"id":"W4391575341","doi":"10.1038/s41587-023-02106-x","title":"Efficient prime editing in two-cell mouse embryos using PEmbryo","year":2024,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Rutgers Cancer Institute of New Jersey; National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Center for Advancing Translational Sciences; National Human Genome Research Institute; Searle Scholars Program; National Institute of Diabetes and Digestive and Kidney Diseases; Princeton University; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Indel; Biology; Embryo; Genetics; Computational biology; Genome; Genome editing; Phenotype; Prime (order theory); DNA; Cell biology; Molecular biology; Gene","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":[0.0003223713,0.0007030141,0.0003561625,0.0002915718,0.0002219131,0.0004211734,0.0005297856,0.0005909929,0.002252447],"category_scores_gemma":[0.0002832367,0.0003531476,0.0002552139,0.0001326083,0.0002713957,0.000329542,0.0004861175,0.0009333587,0.001000175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059703,"about_ca_system_score_gemma":0.0002026943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003407777,"about_ca_topic_score_gemma":0.0007430922,"domain_scores_codex":[0.9997999,0.00002361602,0.00001799623,0.00007144047,0.00006038877,0.000026575],"domain_scores_gemma":[0.9997237,0.00007836756,0.00008454835,0.00005947636,0.00001589344,0.00003811874],"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":[0.00002153788,0.000005323738,0.00003625307,0.00001330036,0.000001797611,0.0000321501,0.000008306492,0.000034807,0.9989741,0.00009462128,0.00001722549,0.0007605662],"study_design_scores_gemma":[0.000006347501,0.00005756333,0.0005602041,0.000003042618,0.00000522446,0.0001859255,0.000003036803,0.0003393193,0.9972562,0.00003564541,0.001544257,0.000003210918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.858593,0.001268574,0.1293357,0.0002523222,0.00008558362,0.0003359376,0.001575201,0.001842034,0.006711669],"genre_scores_gemma":[0.9238471,0.001289211,0.06001126,0.0001025111,0.00001562937,0.000278373,0.001347225,0.0005876191,0.01252103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002252447,"threshold_uncertainty_score":0.007535219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003786184979788,"score_gpt":0.2933683498851544,"score_spread":0.2895821649053664,"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."}}