{"id":"W4382777420","doi":"10.1038/s42003-023-05052-1","title":"CRISPR prime editing for unconstrained correction of oncogenic KRAS variants","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation; Public Health Agency of Canada","keywords":"KRAS; CRISPR; Indel; Mutation; Biology; Genetics; Oncogene; Cancer research; Computational biology; Gene; Cancer; Genotype; Cell cycle","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":[0.0003810354,0.0005539926,0.0005108112,0.0003065998,0.000201693,0.0005082297,0.0004952828,0.0006943495,0.002131395],"category_scores_gemma":[0.0004375414,0.0003224301,0.0004058623,0.0001905419,0.0004091901,0.0003356089,0.0006686868,0.001042036,0.0006069569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160826,"about_ca_system_score_gemma":0.0002874016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588146,"about_ca_topic_score_gemma":0.0005750117,"domain_scores_codex":[0.9995541,0.00005189793,0.00003594083,0.0001532317,0.0001374943,0.00006729754],"domain_scores_gemma":[0.9998057,0.00004743203,0.00005682379,0.00004572443,0.00001947849,0.00002480689],"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":[0.00009418854,0.00002818962,0.0001727061,0.0001425892,0.00001931043,0.000244252,0.00004812745,0.0008328226,0.9772658,0.002270831,0.0005765809,0.01830466],"study_design_scores_gemma":[0.00001967628,0.0001786723,0.000409857,0.00001180699,0.00002772531,0.0007410805,0.00001169202,0.003795505,0.9756517,0.00041208,0.01872,0.00002026022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4618929,0.004066971,0.5064356,0.0006476337,0.0005062779,0.0005909569,0.001809239,0.007909076,0.01614141],"genre_scores_gemma":[0.8614745,0.002251988,0.1199442,0.0003397612,0.0000396332,0.0002755905,0.001270558,0.0005526672,0.01385118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002131395,"threshold_uncertainty_score":0.007130265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785743326563239,"score_gpt":0.3885557753364381,"score_spread":0.3606983420708058,"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."}}