{"id":"W3139826906","doi":"10.1038/s41586-021-03191-1","title":"The NIH Somatic Cell Genome Editing program","year":2021,"lang":"en","type":"review","venue":"Nature","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Biomedical Imaging and Bioengineering; National Eye Institute; National Human Genome Research Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Genome editing; Genome; Somatic cell; Computer science; Human genome; Computational biology; Benchmark (surveying); Data science; Biology; 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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001398408,0.0002668347,0.000404332,0.00002082774,0.0001104432,0.00007867058,0.0003442523,0.001736711,0.00000814431],"category_scores_gemma":[0.00008694109,0.0001786052,0.000363631,0.0001219629,0.00002236077,6.224201e-7,0.0001618811,0.001430232,0.00001064886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001400044,"about_ca_system_score_gemma":0.0001193981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.211175e-7,"about_ca_topic_score_gemma":0.000003069913,"domain_scores_codex":[0.9989728,0.00004974127,0.0002379143,0.0003256137,0.0001330921,0.0002808511],"domain_scores_gemma":[0.9992681,0.00002670271,0.0001036621,0.0004900098,0.00005507774,0.0000564712],"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":[3.92187e-7,0.00002248989,4.736118e-7,0.003953379,0.0001017554,0.000009230988,0.000007305057,0.000005912258,0.0002425435,0.00001179024,0.003931929,0.9917128],"study_design_scores_gemma":[0.00004484884,0.00003084231,0.000001268989,0.0006632041,0.0001395377,0.00003517853,0.00001686678,0.000003323663,0.0002711951,0.000002406044,0.9985972,0.0001941344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001082843,0.9976897,0.00007567595,0.0000253192,0.0006468,0.0004310473,0.00001956369,0.00002262763,0.001078478],"genre_scores_gemma":[0.00005468699,0.995282,0.0006962121,0.00004576296,0.001677487,0.0001130989,0.0005588308,0.00005445876,0.001517463],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9946653,"threshold_uncertainty_score":0.9995592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007245945965213635,"score_gpt":0.3421402776634273,"score_spread":0.3348943316982136,"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."}}