{"id":"W4404685525","doi":"10.20944/preprints202411.1633.v1","title":"The Advancement and Applications of Prime Editing","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; China Scholarship Council","keywords":"CRISPR; Genome editing; Computer science; Transcription activator-like effector nuclease; Computational biology; Cas9; Double strand; Transversion; Biology; Prime (order theory); Genetics; Gene; Mutation; DNA repair; Mathematics","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":[0.001764068,0.001130687,0.001084054,0.001213448,0.0005760034,0.002143036,0.001006803,0.001036651,0.003702103],"category_scores_gemma":[0.002085746,0.0006289468,0.0009556572,0.001018328,0.001062652,0.001606694,0.001500131,0.00284983,0.002260404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006479766,"about_ca_system_score_gemma":0.0007991745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004710051,"about_ca_topic_score_gemma":0.0004310022,"domain_scores_codex":[0.9979685,0.0003161583,0.0001555144,0.0007249283,0.0007084357,0.0001265049],"domain_scores_gemma":[0.9989374,0.0004000557,0.0001742063,0.0002288073,0.0001857992,0.00007369439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002393154,0.0000845417,0.0007571407,0.003088227,0.0001241239,0.000567027,0.0004236186,0.003266437,0.5369598,0.03789027,0.005743819,0.4108556],"study_design_scores_gemma":[0.00002957093,0.000509824,0.001169679,0.0003101921,0.0001463481,0.003443359,0.00008801802,0.005727669,0.5532994,0.009907086,0.4252319,0.000136933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0367673,0.1131169,0.7944788,0.001449541,0.001369073,0.0003533467,0.0009124849,0.003963869,0.04758867],"genre_scores_gemma":[0.3404039,0.1753947,0.4423145,0.001799936,0.0008236298,0.000601732,0.002929319,0.001861163,0.03387108],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003702103,"threshold_uncertainty_score":0.01238477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677954820073139,"score_gpt":0.3597308381265885,"score_spread":0.3329512899258571,"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."}}