{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000958347,0.0001140517,0.0001255564,0.00005362926,0.00008070015,0.00001324581,0.0004560421,0.0002460032,0.00003234738],"category_scores_gemma":[0.00001064282,0.0001182142,0.00008673192,0.0001169843,0.00005669399,0.000003714336,0.0002491655,0.0002857411,0.00001437148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001333166,"about_ca_system_score_gemma":0.0000276246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001638704,"about_ca_topic_score_gemma":0.00002860575,"domain_scores_codex":[0.999316,0.0000374306,0.0002101743,0.0001845412,0.0001172267,0.0001345768],"domain_scores_gemma":[0.9984339,0.00003020824,0.00008035317,0.001267344,0.0001457073,0.0000424877],"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":[0.000006407238,0.0001047915,0.008450172,0.00004781938,0.00003600264,1.715267e-7,0.00003602057,0.0001756733,0.9896914,0.0005401238,0.0007772961,0.0001340882],"study_design_scores_gemma":[0.0002969367,0.00008725301,0.009931157,0.00003331641,0.00002468992,0.000008190718,0.00007131869,0.00007602575,0.9866094,0.00001298314,0.002701112,0.0001476239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883164,0.006360043,0.003062045,0.0001381939,0.0003338276,0.0002870249,0.00002484756,0.00002675354,0.001450823],"genre_scores_gemma":[0.9973418,0.00008791514,0.001561398,0.00005916595,0.00007733191,0.00001572333,0.000309123,0.00002137706,0.0005262272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009025296,"threshold_uncertainty_score":0.4820637,"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."}}