{"id":"W2794836173","doi":"10.1016/j.jim.2018.03.009","title":"Genetic engineering in primary human B cells with CRISPR-Cas9 ribonucleoproteins","year":2018,"lang":"en","type":"article","venue":"Journal of Immunological Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; University Health Network","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Pew Charitable Trusts; Burroughs Wellcome Fund; University of California, San Francisco; Howard Hughes Medical Institute","keywords":"CRISPR; Cas9; Genome editing; Biology; Ribonucleoprotein; Electroporation; Genome engineering; Computational biology; Oligonucleotide; Guide RNA; Gene; Genetics; Cell biology; RNA","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":[],"consensus_categories":[],"category_scores_codex":[0.0005771493,0.0001698253,0.0002844031,0.0001115423,0.00003893402,0.00002032372,0.0002710804,0.0001694929,0.00002761792],"category_scores_gemma":[0.0001232364,0.0001249054,0.00009730705,0.0001501524,0.00009682927,0.00000509928,0.00009864069,0.0002878724,0.000002325028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003054259,"about_ca_system_score_gemma":0.00003531472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004741227,"about_ca_topic_score_gemma":0.000002346561,"domain_scores_codex":[0.9988904,0.0001221661,0.0004153241,0.0001825371,0.0001211107,0.0002684886],"domain_scores_gemma":[0.9993988,0.00003306069,0.0001435028,0.0002322424,0.0001230972,0.00006924084],"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":[0.0001083404,0.00006076419,0.0008469146,0.00001418748,0.00005254904,0.00003024335,0.00003133058,0.0008583771,0.9854431,0.00001240361,0.0000390168,0.01250273],"study_design_scores_gemma":[0.000980075,0.003197892,0.1046682,0.00006098696,0.00002312136,0.0001958935,0.00002765755,0.00008698781,0.8846557,0.00005244037,0.005833159,0.0002179437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7970505,0.001553161,0.2008394,0.00003142182,0.0001393143,0.00008353312,5.900253e-7,0.00000675152,0.0002953125],"genre_scores_gemma":[0.6440106,0.0001236198,0.3554891,0.00004911048,0.0002593757,0.0000034072,6.785298e-7,0.00001728652,0.00004681757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546497,"threshold_uncertainty_score":0.5093493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152640578784841,"score_gpt":0.3394865122742776,"score_spread":0.3279601064864291,"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."}}