{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154867,0.001150085,0.0009320324,0.002643935,0.0003619822,0.001038074,0.001644058,0.001421704,0.009527951],"category_scores_gemma":[0.0008707834,0.0003521013,0.000705454,0.001708576,0.0006419863,0.000831005,0.00100719,0.0030191,0.007851352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282844,"about_ca_system_score_gemma":0.002126413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994349,"about_ca_topic_score_gemma":0.003046924,"domain_scores_codex":[0.9993532,0.00008412298,0.00005065422,0.00007333756,0.0003820291,0.00005659806],"domain_scores_gemma":[0.9994571,0.0001313452,0.00005669779,0.00003873395,0.0002322606,0.00008396276],"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":[0.0001011182,0.00008574561,0.00008639126,0.003775575,0.00004829832,0.0002588128,0.0000384663,0.0003739807,0.01173837,0.01310834,0.1696021,0.8007829],"study_design_scores_gemma":[0.00001389555,0.00003320513,0.0001767848,0.0003054772,0.0000144533,0.0003595942,0.000003902022,0.0000450964,0.003055783,0.0008810659,0.9951007,0.00001014983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000632035,0.9088797,0.01225347,0.004395218,0.003753992,0.0003251928,0.001422029,0.0009968651,0.06734149],"genre_scores_gemma":[0.004739861,0.9385129,0.01183802,0.003565353,0.0006006937,0.0004047197,0.003021548,0.00009979255,0.03721717],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009527951,"threshold_uncertainty_score":0.03187418,"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."}}