{"id":"W4387190241","doi":"10.1016/j.cell.2023.08.031","title":"An AsCas12f-based compact genome-editing tool derived by deep mutational scanning and structural analysis","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Genome editing; Genome; Gene; Computational biology; Human genome; Genetics; DNA","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":[0.0002717981,0.0005104732,0.0002547374,0.0002775704,0.0002126697,0.0003266549,0.0003754721,0.0004238734,0.0007822955],"category_scores_gemma":[0.0002098153,0.0001710377,0.0002848917,0.0002142985,0.0003279458,0.0002610529,0.0003776712,0.0007241533,0.0002827788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506999,"about_ca_system_score_gemma":0.000276279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000551165,"about_ca_topic_score_gemma":0.0008343732,"domain_scores_codex":[0.9998265,0.00001887295,0.00001428155,0.00004500347,0.00007428419,0.0000210689],"domain_scores_gemma":[0.9998506,0.00001877358,0.00005307922,0.00002278618,0.00002353793,0.00003131495],"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":[0.00002730861,0.00001132333,0.0001124661,0.00002596758,0.000005650938,0.00005656678,0.00001077568,0.0002652771,0.9964377,0.0002718227,0.00005948111,0.002715628],"study_design_scores_gemma":[0.000005993352,0.00006322865,0.0005695237,0.000002909869,0.000007326385,0.0003399483,0.000008155871,0.002086789,0.99246,0.00007467798,0.004373343,0.00000811011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8535776,0.001203245,0.1398427,0.000234471,0.00008889194,0.0001684654,0.001036981,0.001047963,0.002799639],"genre_scores_gemma":[0.9384264,0.000603229,0.05603249,0.00005854912,0.00000956223,0.00008547712,0.001305668,0.0001111267,0.003367527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007822955,"threshold_uncertainty_score":0.002617002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005348035935323792,"score_gpt":0.2743797740871241,"score_spread":0.2690317381518003,"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."}}