{"id":"W4389484646","doi":"10.1016/j.isci.2023.108693","title":"Multiplexed CRISPR gene editing in primary human islet cells with Cas9 ribonucleoprotein","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; University of Alberta; JDRF; National Institute of Diabetes and Digestive and Kidney Diseases; Stanford Diabetes Research Center; Wellcome Trust; Juvenile Diabetes Research Foundation United States of America","keywords":"CRISPR; Genome editing; Ribonucleoprotein; Cas9; Biology; Human genome; Gene; Guide RNA; Computational biology; Electroporation; RNA; DNA; Genetics; Genome; Cell biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002335986,0.0001125187,0.000094261,0.00007380651,0.00008974311,0.00002684846,0.0002085376,0.00005702237,0.000006525226],"category_scores_gemma":[0.00002487002,0.0001030929,0.00002597451,0.0003280715,0.00008282947,0.000004915877,0.0001272411,0.00007854957,0.0000176753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001424062,"about_ca_system_score_gemma":0.00003259178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006429741,"about_ca_topic_score_gemma":0.0001040265,"domain_scores_codex":[0.999007,0.00001449109,0.0001351686,0.000353549,0.0001589832,0.0003307591],"domain_scores_gemma":[0.999626,0.000006778585,0.00003135737,0.0002502041,0.00002665754,0.00005895245],"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":[0.000005100633,0.00001215284,0.001356001,0.00001456812,0.000002263063,0.00002159976,0.0001020669,0.004971588,0.9920279,0.000004243097,0.0004337112,0.001048746],"study_design_scores_gemma":[0.0003312631,0.00009990454,0.01856744,0.00001951919,0.00000223084,0.000009002893,0.00009834618,0.0008028431,0.9777358,0.000008035428,0.002162324,0.0001633445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966586,0.0001490724,0.00207998,0.00007234513,0.0001159603,0.0001560907,0.000008551204,0.00003355229,0.0007258642],"genre_scores_gemma":[0.996554,0.00001936278,0.002645043,0.00008746832,0.0001749248,0.00002302845,0.00002764696,0.00001627123,0.000452289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01721144,"threshold_uncertainty_score":0.4204007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611692295288435,"score_gpt":0.2760805612757267,"score_spread":0.2674688689804383,"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."}}