{"id":"W4226280654","doi":"10.1038/s41587-021-01201-1","title":"Saturation variant interpretation using CRISPR prime editing","year":2022,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":181,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; SickKids Foundation; Mount Sinai Hospital; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Genome editing; Biology; Locus (genetics); Genetics; Missense mutation; Computational biology; Gene; Phenotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001764424,0.001091488,0.0008528937,0.001011446,0.00121007,0.002033832,0.001869545,0.001626016,0.01334536],"category_scores_gemma":[0.004079229,0.0009168136,0.001037392,0.0006791183,0.001112393,0.0009043838,0.001967366,0.002939024,0.004312398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000837212,"about_ca_system_score_gemma":0.001200296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225074,"about_ca_topic_score_gemma":0.002230291,"domain_scores_codex":[0.9984097,0.000201657,0.0001401112,0.000534675,0.0005379068,0.0001759412],"domain_scores_gemma":[0.997747,0.0008212969,0.0002035856,0.0006889776,0.0003868367,0.0001522211],"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":[0.0009571713,0.0001747318,0.002720016,0.0004071443,0.0001287575,0.003174317,0.0004335858,0.007361711,0.8250224,0.04406261,0.006810284,0.1087474],"study_design_scores_gemma":[0.00007435462,0.0001261923,0.001015388,0.00004469672,0.0000813138,0.001966452,0.0001342567,0.04075087,0.9073097,0.01558253,0.03279981,0.0001144885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1019957,0.0002606206,0.8575943,0.0007738756,0.0007606548,0.000347728,0.001684587,0.01420989,0.02237269],"genre_scores_gemma":[0.5798501,0.0002603488,0.3992333,0.0004979038,0.00006604454,0.0002052317,0.001895401,0.004360422,0.01363125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01334536,"threshold_uncertainty_score":0.04464465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003830319143118978,"score_gpt":0.2836967585530153,"score_spread":0.2798664394098964,"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."}}