{"id":"W2899342278","doi":"10.1016/j.omtn.2018.10.015","title":"Overcoming the Undesirable CRISPR-Cas9 Expression in Gene Correction","year":2018,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"Cystic Fibrosis Canada; Canadian Institutes of Health Research; Cystic Fibrosis Foundation Therapeutics","keywords":"CRISPR; Gene; Computational biology; Expression (computer science); Genetics; Gene expression; Biology; Computer science; Programming language","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":[0.00153093,0.0007699134,0.0008947107,0.0005552023,0.0005798711,0.00122245,0.0007819937,0.001465413,0.001634649],"category_scores_gemma":[0.001758844,0.0005155297,0.0006806056,0.0003982121,0.0009089854,0.0007798973,0.001273533,0.002165088,0.001084083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008481886,"about_ca_system_score_gemma":0.001262686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190078,"about_ca_topic_score_gemma":0.002154163,"domain_scores_codex":[0.9971036,0.0006280211,0.0003198787,0.0004858584,0.001177661,0.0002849453],"domain_scores_gemma":[0.9988363,0.0003811457,0.0002585504,0.0001858476,0.0002505699,0.0000876142],"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":[0.00006381141,0.00003979052,0.0005957594,0.0006245881,0.00003872425,0.0004890661,0.00009110364,0.0009762717,0.9729709,0.004281641,0.0007811559,0.01904713],"study_design_scores_gemma":[0.00001087838,0.0001178545,0.0006329037,0.00005148757,0.00003823958,0.001474599,0.00002974251,0.004304509,0.9699436,0.0008618111,0.02251093,0.00002335398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3255295,0.02831214,0.6224093,0.003480422,0.001246256,0.0004802961,0.00056128,0.002511915,0.01546878],"genre_scores_gemma":[0.838115,0.01310875,0.1340142,0.00122309,0.0001227888,0.0002311057,0.0005750139,0.0003237579,0.01228628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001634649,"threshold_uncertainty_score":0.008096457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009627486999189975,"score_gpt":0.2807491111322145,"score_spread":0.2711216241330245,"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."}}