{"id":"W4386812964","doi":"10.1101/2023.09.16.558090","title":"Multiplexed CRISPR gene editing in primary human islet cells with Cas9 ribonucleoprotein","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; University of Alberta; Stanford Diabetes Research Center","keywords":"CRISPR; Ribonucleoprotein; Genome editing; Cas9; Islet; Gene; Primary (astronomy); Biology; Cell biology; Molecular biology; Chemistry; Computational biology; Genetics; RNA; Physics; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003609642,0.0003355986,0.0004096453,0.0001770192,0.0001670578,0.0006021698,0.0003022997,0.0004055705,0.001838187],"category_scores_gemma":[0.0002225239,0.0002134296,0.0003161161,0.0001329684,0.0002772284,0.0001493321,0.0004108605,0.0008748002,0.0009378743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003431132,"about_ca_system_score_gemma":0.0002526348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007294978,"about_ca_topic_score_gemma":0.0008631936,"domain_scores_codex":[0.9996628,0.00004208798,0.00002871329,0.0001324195,0.00009482901,0.00003914003],"domain_scores_gemma":[0.9998604,0.0000355766,0.00001977422,0.00004319384,0.00001654517,0.00002448987],"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":[0.00005945615,0.00001464077,0.000185135,0.00003175591,0.00001122964,0.0001003783,0.00002255984,0.000361243,0.9954897,0.0003762289,0.0002891796,0.003058501],"study_design_scores_gemma":[0.00001111199,0.0000428055,0.0004907147,0.000003516448,0.00001101635,0.0001951934,0.000007234099,0.001985963,0.9907037,0.0001278361,0.006415346,0.000005677421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6904328,0.002045566,0.2849405,0.0004688013,0.0004533315,0.000472856,0.003493704,0.003519907,0.01417254],"genre_scores_gemma":[0.9057948,0.0007251704,0.07974286,0.0001477975,0.00003545763,0.0002234226,0.002261462,0.0002700977,0.01079902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001838187,"threshold_uncertainty_score":0.006149292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016573895701852,"score_gpt":0.2403508848656922,"score_spread":0.2301851459086737,"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."}}