{"id":"W2980811738","doi":"10.1038/s41467-019-12726-0","title":"Functional profiling of single CRISPR/Cas9-edited human long-term hematopoietic stem cells","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; Terry Fox Foundation; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Human Frontier Science Program; Hospital for Sick Children; University of Toronto; National Cancer Institute; Ontario Institute for Cancer Research; Government of Canada; Government of Ontario","keywords":"Haematopoiesis; CRISPR; Biology; Stem cell; Hematopoietic stem cell; Cell biology; Genome editing; Computational biology; Cas9; Genetics; Gene","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":[0.0002508824,0.000210651,0.0002013103,0.0003143382,0.0001671898,0.0003964365,0.0002159546,0.000301305,0.0006652178],"category_scores_gemma":[0.0002130268,0.00008885441,0.0001626219,0.0001853989,0.0001831943,0.0001476325,0.000156449,0.0003055688,0.0003981093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007075,"about_ca_system_score_gemma":0.000141298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005822392,"about_ca_topic_score_gemma":0.000887465,"domain_scores_codex":[0.9998234,0.00001514193,0.00001488601,0.00005618414,0.00006683501,0.00002357894],"domain_scores_gemma":[0.9998404,0.0000393666,0.00003326591,0.00002163164,0.00003414468,0.0000313012],"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":[0.00001065091,0.000003565177,0.0001772219,0.00001033164,0.000001925589,0.00001768049,0.000009924912,0.00007502546,0.9988482,0.00003706892,0.00001312876,0.000795279],"study_design_scores_gemma":[9.679489e-7,0.00002784691,0.003510959,0.000001877007,0.0000069025,0.00009964879,0.00001433596,0.001341126,0.9942611,0.00004333062,0.0006889157,0.00000300981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447968,0.0006445199,0.05043416,0.00006454194,0.00001642725,0.00005708086,0.002010893,0.0003848751,0.001590642],"genre_scores_gemma":[0.9751094,0.0004336616,0.0195436,0.00005728294,0.000004310084,0.00004895802,0.002229051,0.0001289047,0.002444843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006652178,"threshold_uncertainty_score":0.002225399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799802170619525,"score_gpt":0.3108901870282911,"score_spread":0.2928921653220959,"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."}}