{"id":"W2560511456","doi":"10.1016/j.cell.2016.11.017","title":"Naturally Occurring Off-Switches for CRISPR-Cas9","year":2016,"lang":"en","type":"letter","venue":"Cell","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":414,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Biology; CRISPR; Cas9; Computational biology; Genetics; Gene","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":[0.001895755,0.0004540403,0.0005183067,0.0001771697,0.0007698862,0.001426617,0.0007535564,0.007314222,0.002735798],"category_scores_gemma":[0.004390971,0.0002578663,0.0003859372,0.0001349665,0.001534581,0.001055545,0.0006943277,0.01020489,0.001934901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460577,"about_ca_system_score_gemma":0.0004646298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004800858,"about_ca_topic_score_gemma":0.001237178,"domain_scores_codex":[0.9988936,0.0002472521,0.00009446083,0.0001265929,0.000511024,0.0001270998],"domain_scores_gemma":[0.9985347,0.0009494259,0.0001207432,0.0001055209,0.0001407088,0.0001489807],"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":[0.0007135049,0.000181377,0.001237166,0.0003670076,0.00004399213,0.00639179,0.0002045827,0.000657341,0.05422924,0.05327573,0.7655876,0.1171107],"study_design_scores_gemma":[0.0001410817,0.0002060507,0.0005594267,0.00006494094,0.00002765823,0.006369566,0.0001002753,0.001832371,0.04714666,0.02522676,0.9182831,0.00004217618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01235245,0.03083685,0.01732292,0.8486404,0.0500014,0.00009373823,0.0003721656,0.0008674021,0.03951261],"genre_scores_gemma":[0.2892722,0.0230994,0.02112632,0.5263954,0.03855712,0.0003767142,0.0004290305,0.0003027258,0.1004411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007314222,"threshold_uncertainty_score":0.01059729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008251045516481486,"score_gpt":0.2743337778846146,"score_spread":0.2660827323681331,"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."}}