{"id":"W2915013877","doi":"10.1038/s41587-018-0011-0","title":"Engineered CRISPR–Cas12a variants with increased activities and improved targeting ranges for gene, epigenetic and base editing","year":2019,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":724,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Human Genome Research Institute; Nature","keywords":"Genome editing; CRISPR; Ribonucleoprotein; Computational biology; Biology; Epigenetics; Multiplex; Gene; Cas9; Genetics; HEK 293 cells; RNA","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":[0.0006764779,0.001185444,0.001089536,0.0008600677,0.0004742371,0.001146637,0.001365932,0.001354842,0.004142776],"category_scores_gemma":[0.0009849708,0.0007890656,0.0008137887,0.0008060157,0.0006707496,0.0005821599,0.0008940558,0.002843431,0.002979107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015213,"about_ca_system_score_gemma":0.0006048685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172547,"about_ca_topic_score_gemma":0.002828615,"domain_scores_codex":[0.9988297,0.00010726,0.0001930687,0.000300806,0.0004212578,0.0001480147],"domain_scores_gemma":[0.999112,0.0001752133,0.0002521025,0.0001729393,0.000145365,0.0001424055],"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":[0.00009648575,0.00003819706,0.00007828728,0.00003910803,0.00001773552,0.00005544802,0.00001603242,0.0002522976,0.9960535,0.000409977,0.0001595033,0.002783349],"study_design_scores_gemma":[0.00001610346,0.00003578409,0.0003271463,0.000003648603,0.00002538866,0.0001761677,0.00000669648,0.001172596,0.9940019,0.00009138817,0.004125222,0.00001798606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6623617,0.00165395,0.3097299,0.0006571772,0.0006389531,0.0006237441,0.005763524,0.007588464,0.0109825],"genre_scores_gemma":[0.8153416,0.0005803886,0.1568796,0.0003029144,0.0000379292,0.0004278213,0.005063442,0.002143195,0.01922307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004142776,"threshold_uncertainty_score":0.01385891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001938441349481033,"score_gpt":0.2248433199471819,"score_spread":0.2229048785977008,"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."}}