{"id":"W2284413061","doi":"10.1038/srep19675","title":"Sequence features associated with the cleavage efficiency of CRISPR/Cas9 system","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Core Research for Evolutional Science and Technology; Japan Science and Technology Agency; National Center of Neurology and Psychiatry; Japan Society for the Promotion of Science; Japan Science Society; Takeda Pharmaceutical Company","keywords":"CRISPR; Cas9; Guide RNA; Endonuclease; Computational biology; Genome editing; Cleavage (geology); Biology; DNA; Subgenomic mRNA; Context (archaeology); Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007009258,0.0001020208,0.0001041984,0.00003271324,0.0001249827,0.00003679449,0.0001569523,0.0000622452,0.000004546023],"category_scores_gemma":[0.0001497198,0.0000505231,0.00005697998,0.0001794464,0.0002506028,0.000003098485,0.00005847516,0.00003764978,0.000001790225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001675331,"about_ca_system_score_gemma":0.00007553997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007349643,"about_ca_topic_score_gemma":0.00002730961,"domain_scores_codex":[0.9989113,0.00003127678,0.0001949752,0.0003886479,0.0002655208,0.0002082905],"domain_scores_gemma":[0.9989803,0.00001739591,0.0001600215,0.0006610008,0.0001335342,0.00004769838],"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":[0.000006646723,0.00001540289,0.001112488,0.0000150704,0.00002106837,0.00003510193,0.00005661177,0.0001011583,0.9906731,0.00003163015,0.007384793,0.0005468764],"study_design_scores_gemma":[0.0001033567,0.00007307475,0.0027828,0.00008492515,0.00001733426,0.0001642546,0.0001179688,0.00001347126,0.9908568,0.00001559499,0.005663064,0.0001074148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867631,0.0004423502,0.009986344,0.0001182101,0.001075432,0.000184853,0.000007529642,0.00002533508,0.001396873],"genre_scores_gemma":[0.9970712,0.000003558102,0.00006763374,0.000008814692,0.00003910372,0.000008944014,0.00001212097,0.00001120595,0.002777436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01030811,"threshold_uncertainty_score":0.2060272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006915400733105888,"score_gpt":0.2588820278216165,"score_spread":0.2519666270885106,"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."}}