{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000443907,0.0003150039,0.0004976428,0.0003102719,0.0003538122,0.0008173426,0.0004423994,0.0004601399,0.0030641],"category_scores_gemma":[0.000297337,0.0002971769,0.0004500411,0.0002411362,0.0003124427,0.0001911838,0.0003531402,0.00134019,0.00274358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003210975,"about_ca_system_score_gemma":0.0003556616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009384369,"about_ca_topic_score_gemma":0.001214902,"domain_scores_codex":[0.999524,0.00008891,0.00005781711,0.0001023818,0.0001223936,0.0001045345],"domain_scores_gemma":[0.9997692,0.00004692714,0.00002677791,0.00006515915,0.00003675146,0.00005522533],"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":[0.00007652563,0.00001816226,0.0001015617,0.00003443699,0.000006674783,0.00007859257,0.00002064806,0.00006733523,0.9977171,0.0002790465,0.0002303553,0.001369622],"study_design_scores_gemma":[0.00001296785,0.00004989311,0.0004676819,0.000004400635,0.00001206804,0.0002113757,0.00001543174,0.0005128913,0.9914911,0.00008498272,0.007133277,0.000003923042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7968974,0.003278835,0.1734031,0.0007980368,0.000853826,0.0005379051,0.005734058,0.003736329,0.01476058],"genre_scores_gemma":[0.9073738,0.001336821,0.07131703,0.0002352886,0.00005511546,0.0002457659,0.00375142,0.0003582177,0.01532646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0030641,"threshold_uncertainty_score":0.01025045,"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."}}