{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002396427,0.00007902087,0.0001149626,0.0000688365,0.00009626704,0.000003931159,0.0003494957,0.0001257357,0.000006118231],"category_scores_gemma":[0.0003207302,0.00008398754,0.00007338213,0.0001598485,0.0001167804,0.000001561546,0.0002001999,0.000060799,0.000007255655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007845087,"about_ca_system_score_gemma":0.00005174971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001339665,"about_ca_topic_score_gemma":0.00003518318,"domain_scores_codex":[0.9994018,0.00004868349,0.0002118793,0.0001554715,0.00002303782,0.0001591412],"domain_scores_gemma":[0.9989802,0.00008809464,0.00007523977,0.0007229436,0.0001041554,0.00002933837],"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":[0.00001289941,0.00002784638,0.001078642,0.00001082986,0.00005297442,5.319022e-8,0.00005341728,0.0001929207,0.9782957,0.0005790099,0.001986065,0.01770962],"study_design_scores_gemma":[0.001085067,0.0005440246,0.005783303,0.00003330707,0.00006793839,0.00001859137,0.000566334,0.01850509,0.8092607,0.0008307251,0.1629799,0.0003250404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5849623,0.004085369,0.3954306,0.002025369,0.003446057,0.001381891,0.0003603541,0.0002555021,0.008052561],"genre_scores_gemma":[0.9931805,0.0003569163,0.005081938,0.00003480559,0.0001403044,0.00007920559,0.0008264711,0.00001396822,0.000285935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4082181,"threshold_uncertainty_score":0.3424912,"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."}}