{"id":"W2802473049","doi":"10.1016/j.omtn.2018.04.017","title":"Priming Human Repopulating Hematopoietic Stem and Progenitor Cells for Cas9/sgRNA Gene Targeting","year":2018,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Institutes of Health; Natur og Univers, Det Frie Forskningsråd; Stanford Maternal and Child Health Research Institute; Sundhed og Sygdom, Det Frie Forskningsråd; Amon G. Carter Foundation; Children's Health Research Institute; California Institute for Regenerative Medicine","keywords":"Biology; Progenitor cell; Haematopoiesis; Electroporation; Genome editing; Stem cell; Cell biology; Transduction (biophysics); Population; Molecular biology; CRISPR; Genetics; Gene; Medicine","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":[0.0003204238,0.0002894215,0.0002791832,0.0001977489,0.0001383074,0.0003649814,0.0001848752,0.0002488946,0.003903954],"category_scores_gemma":[0.0001616623,0.0001075719,0.0001607019,0.0002050816,0.0001628148,0.00011685,0.0001944616,0.0004166867,0.001351856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468648,"about_ca_system_score_gemma":0.00019187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006206293,"about_ca_topic_score_gemma":0.0008765403,"domain_scores_codex":[0.9998324,0.00003691679,0.0000178329,0.00004295585,0.00004130787,0.00002843007],"domain_scores_gemma":[0.9999117,0.00002425766,0.0000139812,0.00002022115,0.00001032476,0.00001955398],"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":[0.0001181254,0.00005872842,0.0002695498,0.00002768558,0.000004373803,0.00003366775,0.00003478117,0.0001213147,0.9950052,0.0001536492,0.0002724215,0.003900615],"study_design_scores_gemma":[0.0000136358,0.0001366172,0.001024513,0.000002953714,0.000007917072,0.0001018569,0.000009846155,0.0005830086,0.9941934,0.00002816464,0.00389547,0.000002644066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455206,0.001956204,0.04226749,0.0002099931,0.0001234289,0.0005176286,0.001881932,0.0009835303,0.006539128],"genre_scores_gemma":[0.9657326,0.0009269816,0.02312928,0.00007913924,0.00002867732,0.0001970737,0.002911267,0.0001201241,0.006874877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003903954,"threshold_uncertainty_score":0.01306003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246488081359751,"score_gpt":0.2931785660832801,"score_spread":0.2807136852696825,"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."}}