{"id":"W3025058453","doi":"10.1016/j.tips.2020.04.009","title":"Rewired Cas9s with Minimal Sequence Constraints","year":2020,"lang":"en","type":"letter","venue":"Trends in Pharmacological Sciences","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Genome editing; Computational biology; Cas9; Biology; Genome engineering; Gene; Genome; Genetics","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":[0.002281081,0.0005188005,0.0006492739,0.0002071696,0.0007865997,0.002311207,0.001074148,0.008771937,0.004154977],"category_scores_gemma":[0.008589683,0.0004530794,0.0004920264,0.0001550422,0.001786486,0.001370347,0.001113864,0.01179114,0.003119449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504421,"about_ca_system_score_gemma":0.000706057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006960884,"about_ca_topic_score_gemma":0.001617996,"domain_scores_codex":[0.9985404,0.0002023639,0.0001132248,0.0002016418,0.0007685961,0.0001737669],"domain_scores_gemma":[0.9977724,0.001481948,0.0001604385,0.0001908526,0.0002114886,0.0001828976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007684146,0.0002158069,0.0007275987,0.0005675952,0.0001062908,0.004606602,0.0002369095,0.002411541,0.1189093,0.09621475,0.6473802,0.1278549],"study_design_scores_gemma":[0.0004142284,0.0003103217,0.0003800426,0.00008247918,0.00005215547,0.002588537,0.00009281115,0.006103754,0.07484614,0.05163454,0.863404,0.0000910235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02645999,0.01750549,0.0275085,0.7967924,0.06345657,0.0001775817,0.0004753516,0.001574672,0.06604947],"genre_scores_gemma":[0.290287,0.01096994,0.02724906,0.5345508,0.0228258,0.0006113083,0.0005487529,0.0004946127,0.1124627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008771937,"threshold_uncertainty_score":0.0138998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06377986607646954,"score_gpt":0.3874217440958836,"score_spread":0.3236418780194141,"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."}}