{"id":"W4200480423","doi":"10.1016/j.ymthe.2021.12.006","title":"Anti-Cas9 immunity: A formidable challenge for muscle genome editing","year":2021,"lang":"en","type":"letter","venue":"Molecular Therapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"CRISPR; Genome editing; Duchenne muscular dystrophy; Dystrophin; Cas9; Genetic enhancement; Biology; Nuclease; Utrophin; Immune system; Acquired immune system; Gene; Computational biology; Bioinformatics; Genetics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004455891,0.0005254799,0.0009915384,0.000640951,0.0005506673,0.002509284,0.001211064,0.002459301,0.01147977],"category_scores_gemma":[0.004235721,0.0003041794,0.0006343446,0.0003422553,0.001253962,0.003170663,0.001316412,0.004759612,0.003729503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006462242,"about_ca_system_score_gemma":0.001451208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005389194,"about_ca_topic_score_gemma":0.001149477,"domain_scores_codex":[0.9987458,0.000317529,0.000092797,0.00019847,0.0004970947,0.0001482961],"domain_scores_gemma":[0.9965566,0.001820745,0.0002053783,0.0003538002,0.0007606753,0.0003027842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003768288,0.0001486682,0.0009545382,0.004014723,0.0001642162,0.001255921,0.0004001913,0.0004694639,0.07716253,0.04232126,0.180662,0.6920696],"study_design_scores_gemma":[0.00006584576,0.0004320887,0.0007257537,0.0006366546,0.00007139009,0.003738599,0.0002711905,0.001243851,0.03220885,0.01453538,0.946016,0.00005450966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0220065,0.5254216,0.1338195,0.2479049,0.02442678,0.0005187349,0.001082007,0.0033025,0.04151753],"genre_scores_gemma":[0.2024236,0.4797785,0.1344735,0.09426943,0.01582832,0.001082064,0.002762417,0.001556507,0.06782573],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01147977,"threshold_uncertainty_score":0.03840363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166189486294856,"score_gpt":0.2796103208449728,"score_spread":0.2629913722154872,"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."}}