{"id":"W3140088470","doi":"10.1038/nmeth.4559","title":"Response to “Unexpected mutations after CRISPR–Cas9 editing in vivo”","year":2018,"lang":"en","type":"letter","venue":"Nature Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Toronto Centre for Phenogenomics; Hospital for Sick Children","funders":"National Institutes of Health; Genome Canada","keywords":"CRISPR; Genome editing; Biology; Genetics; Computational biology; In vivo; Cas9; Mutation; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009818897,0.0003714529,0.0003259472,0.0003321465,0.00004712562,0.00004393818,0.0003162775,0.002308257,0.0001323364],"category_scores_gemma":[0.00183433,0.0003804564,0.0001363472,0.0003498223,0.00004708695,0.000002487094,0.0001746139,0.001727935,0.00001386688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004853599,"about_ca_system_score_gemma":0.00008481546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008963569,"about_ca_topic_score_gemma":0.0000343759,"domain_scores_codex":[0.997595,0.0006564016,0.0003365047,0.0007120172,0.0002157017,0.000484432],"domain_scores_gemma":[0.9988163,0.0001868366,0.00007295582,0.0006665905,0.0001729509,0.00008437652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001834632,0.00000939692,0.00003210358,0.00003879569,0.00003953647,0.0001024684,0.0001555569,0.00004322064,0.3792749,4.324098e-7,0.6191211,0.0009990551],"study_design_scores_gemma":[0.0001790029,0.0001236425,0.0004499365,0.00005676768,0.00002467401,0.00002347777,0.00002390126,0.00002288465,0.2373432,0.0000234022,0.7614022,0.0003269073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08648294,0.01139185,0.4911304,0.3932503,0.01151158,0.002039759,0.0006451007,0.0002138595,0.003334237],"genre_scores_gemma":[0.01668558,0.00002920172,0.5635959,0.3935869,0.01758616,0.0003974876,0.0004538378,0.000244171,0.007420791],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1422812,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008265518748828115,"score_gpt":0.3940686728648473,"score_spread":0.3858031541160192,"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."}}