{"id":"W2796961959","doi":"10.1038/s41467-018-03927-0","title":"Incorporation of bridged nucleic acids into CRISPR RNAs improves Cas9 endonuclease specificity","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; National Research Foundation; Universities Space Research Association","keywords":"CRISPR; Nucleic acid; Cas9; Genome editing; DNA; Endonuclease; Trans-activating crRNA; Computational biology; Cleavage (geology); Guide RNA; Nucleic acid structure; Gene; Biology; Chemistry; RNA; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001338377,0.0001111669,0.0001082467,0.00005363835,0.0001528006,0.00001641464,0.0005776171,0.000232089,0.00001129022],"category_scores_gemma":[0.0001649079,0.0001160794,0.00006709762,0.0001518972,0.000208871,0.000005794941,0.0003151828,0.000259753,0.00001013745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166164,"about_ca_system_score_gemma":0.00004713429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004832076,"about_ca_topic_score_gemma":0.000536844,"domain_scores_codex":[0.999349,0.00005155383,0.0002112804,0.0001789836,0.00009272002,0.0001164881],"domain_scores_gemma":[0.9981736,0.00002025146,0.000093323,0.00139806,0.0002574804,0.00005731157],"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":[0.00002342599,0.00005553017,0.0008746503,0.00001003231,0.00002715011,1.840306e-7,0.0001359538,0.00001209818,0.9923071,0.0009907458,0.002498311,0.003064821],"study_design_scores_gemma":[0.0002568199,0.000162123,0.02184126,0.00001120583,0.00002417549,0.000006130785,0.00009861203,0.0004754793,0.8827692,0.0001677657,0.09402971,0.0001575538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691961,0.00537789,0.01935753,0.0009451415,0.0003458915,0.0002981003,0.00004126574,0.00004398008,0.004394106],"genre_scores_gemma":[0.9863865,0.0003988793,0.01259145,0.0001269747,0.0002165205,0.000010776,0.0001689938,0.00001968229,0.00008024812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095379,"threshold_uncertainty_score":0.4733579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078115481249419,"score_gpt":0.3179689464773607,"score_spread":0.3071877916648665,"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."}}