{"id":"W4323363119","doi":"10.21203/rs.3.rs-2625838/v1","title":"PAM-Flexible Genome Editing with an Engineered Chimeric Cas9","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Cas9; Genome editing; CRISPR; Computational biology; Genome engineering; Limiting; Protein engineering; Genome; Biology; Computer science; Flexibility (engineering); Genetics; Enzyme; Gene; Engineering; Biochemistry","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":[0.0003023988,0.000461906,0.0005268269,0.0002680235,0.0003475928,0.0007091144,0.0007312267,0.001055089,0.004841806],"category_scores_gemma":[0.0004122167,0.0003450772,0.0005101373,0.0003003144,0.0003822176,0.0004659198,0.0009829988,0.001549165,0.002543209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00046003,"about_ca_system_score_gemma":0.0002954573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004742913,"about_ca_topic_score_gemma":0.0005226277,"domain_scores_codex":[0.9996408,0.000025277,0.00001924666,0.0001283975,0.0001119395,0.00007433652],"domain_scores_gemma":[0.9998153,0.00003714705,0.00002481347,0.00006804719,0.00001564514,0.00003916154],"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":[0.000130356,0.00002673195,0.0001245357,0.00005075824,0.000009768583,0.0001384629,0.00001859362,0.0005939392,0.9900863,0.002394331,0.0003850062,0.006041244],"study_design_scores_gemma":[0.00001886705,0.00004571162,0.0005627217,0.000005724204,0.00001135547,0.0004198398,0.00001112787,0.005972129,0.9834909,0.0007757681,0.008667001,0.00001881523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6102012,0.0007423583,0.3497084,0.0006775468,0.0005210705,0.0002223895,0.002028294,0.007954652,0.02794414],"genre_scores_gemma":[0.910851,0.0002141575,0.0668835,0.0001432682,0.00002079855,0.00007123339,0.001338944,0.0007802452,0.01969671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004841806,"threshold_uncertainty_score":0.01619744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928726360684882,"score_gpt":0.4087015400650201,"score_spread":0.3594142764581713,"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."}}