{"id":"W2940134047","doi":"10.1101/609040","title":"Functional Profiling of Single CRISPR/Cas9-Edited Human Long-Term Hematopoietic Stem Cells","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"University of Toronto; Terry Fox Foundation; Government of Ontario","keywords":"CRISPR; Haematopoiesis; Biology; Stem cell; Hematopoietic stem cell; Cell biology; Genome editing; Computational biology; Cas9; Xenotransplantation; Single-cell analysis; Embryonic stem cell; Cell; Transplantation; Genetics; Gene; Medicine","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":[0.0002200161,0.0001763764,0.0001733394,0.0003152183,0.0001410057,0.0003667329,0.0001901214,0.0002818209,0.0008240505],"category_scores_gemma":[0.0001622446,0.00008294703,0.0001544798,0.0001919163,0.0001752957,0.0001158427,0.0001572583,0.0002937868,0.0004224219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183075,"about_ca_system_score_gemma":0.0001119903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005599113,"about_ca_topic_score_gemma":0.0006069102,"domain_scores_codex":[0.9998502,0.00001225838,0.00001207917,0.00005203027,0.0000533872,0.00002013693],"domain_scores_gemma":[0.9998556,0.00003252153,0.00003209896,0.00002213446,0.00003098164,0.00002660981],"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":[0.00001449879,0.00000374797,0.0002321241,0.000009028565,0.000002153414,0.00001642379,0.000009165227,0.00007900524,0.9988297,0.00003492452,0.00001369084,0.0007555587],"study_design_scores_gemma":[9.431488e-7,0.00002642586,0.0035273,0.000001601829,0.000006413149,0.00007422931,0.00001166616,0.001111168,0.9946518,0.00003642473,0.0005495676,0.000002416716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580886,0.0005794948,0.03727422,0.00004822177,0.00001723406,0.00004341385,0.002227949,0.0003547317,0.001366106],"genre_scores_gemma":[0.9810258,0.0002747835,0.01389809,0.0000414992,0.000003447261,0.00004014251,0.0019945,0.0001124659,0.0026094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008240505,"threshold_uncertainty_score":0.002756774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154926060238855,"score_gpt":0.2482882943757915,"score_spread":0.232795688351906,"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."}}