{"id":"W4312112810","doi":"10.1101/2022.12.21.521522","title":"CRISPR prime editing for unconstrained correction of oncogenic <i>KRAS</i> variants","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"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; Cancer research; Mutation; Oncogene; Biology; Genetics; Computational biology; Cancer; Gene; 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":[0.0004475637,0.0005351081,0.0004677176,0.0002564398,0.0001924011,0.0005402783,0.000490121,0.000608679,0.002269843],"category_scores_gemma":[0.0004428787,0.0002935897,0.0003903876,0.000182896,0.0004339507,0.0003122709,0.0006791601,0.001033282,0.000797551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458524,"about_ca_system_score_gemma":0.0002864095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004063896,"about_ca_topic_score_gemma":0.0005759501,"domain_scores_codex":[0.9995839,0.00005366278,0.00003455543,0.0001449139,0.0001195675,0.0000634927],"domain_scores_gemma":[0.9997464,0.00005873131,0.00007543789,0.00006578831,0.00002309438,0.00003055318],"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":[0.00007872241,0.00001838627,0.0001476621,0.0000710345,0.00001293647,0.0001216082,0.0000244473,0.0006627648,0.9894742,0.001189225,0.000395256,0.007803794],"study_design_scores_gemma":[0.000009411119,0.00006662237,0.0002591901,0.000004516461,0.00001146056,0.000273786,0.000004749158,0.002049264,0.9890864,0.0001733151,0.008052034,0.000009216901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5751432,0.001844349,0.4027619,0.0005827199,0.0003523859,0.0003940722,0.001938333,0.007087353,0.009895709],"genre_scores_gemma":[0.8733203,0.001049904,0.1111483,0.0002751321,0.00003320086,0.0001589304,0.001214054,0.0007659641,0.01203413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002269843,"threshold_uncertainty_score":0.007593334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008615491881392608,"score_gpt":0.2546016789689615,"score_spread":0.2459861870875689,"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."}}