{"id":"W4220928625","doi":"10.1038/s41587-022-01254-w","title":"An engineered prime editor with enhanced editing efficiency in plants","year":2022,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":240,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Genome editing; Prime (order theory); Computational biology; Computer science; Nucleic acid; Murine leukemia virus; Reverse transcriptase; Cell culture; Chemistry; Biology; Combinatorial chemistry; RNA; Biochemistry; Genetics; Genome; Mathematics; 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":[0.0009576867,0.0008874577,0.001052374,0.0005621192,0.0007151336,0.001403639,0.001604835,0.001567878,0.01009619],"category_scores_gemma":[0.001117594,0.001125764,0.0006477686,0.0004574677,0.0005783612,0.0007900146,0.0008847716,0.003397907,0.004676135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005219419,"about_ca_system_score_gemma":0.0008341189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004303187,"about_ca_topic_score_gemma":0.0007672134,"domain_scores_codex":[0.9990357,0.0001287039,0.0001012475,0.0003539007,0.0002622089,0.0001182558],"domain_scores_gemma":[0.9979618,0.0006886175,0.0002851454,0.0004189024,0.0002004005,0.0004451003],"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":[0.0002077245,0.00003909002,0.0000780597,0.0001160171,0.0000149535,0.0002956838,0.00003985059,0.0001475269,0.9919434,0.001027822,0.0007038913,0.005386003],"study_design_scores_gemma":[0.00003595388,0.00005961008,0.0001868729,0.000004689934,0.00002783459,0.0004073998,0.000007750748,0.001139687,0.9809127,0.0001541265,0.01704649,0.00001688493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4675601,0.001732167,0.4847876,0.002465149,0.003406383,0.0006930182,0.004212578,0.01961865,0.01552419],"genre_scores_gemma":[0.6920965,0.0009075121,0.2311937,0.0008273334,0.0003276259,0.000310907,0.003348081,0.006416614,0.06457166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01009619,"threshold_uncertainty_score":0.03377515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0016194211725248,"score_gpt":0.241036724706882,"score_spread":0.2394173035343572,"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."}}