{"id":"W2165896516","doi":"10.1182/blood-2015-05-646398","title":"MLL leukemia induction by genome editing of human CD34+ hematopoietic cells","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"National Cancer Institute; European Hematology Association","keywords":"Haematopoiesis; Leukemia; Genome editing; Biology; CD34; Genome; Human genome; Cancer research; Genetics; Gene; Computational biology; Immunology; Stem cell","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001205872,0.0002780933,0.0001269256,0.000171081,0.0001009955,0.0002526652,0.0002061471,0.0001839878,0.001160861],"category_scores_gemma":[0.0001248956,0.000107507,0.0001547333,0.0001302453,0.0001411006,0.00008295882,0.0002117032,0.0003694306,0.0002123639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090423,"about_ca_system_score_gemma":0.0001399004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005252926,"about_ca_topic_score_gemma":0.0005634849,"domain_scores_codex":[0.9998723,0.00001965705,0.00001140251,0.00003658072,0.00003765897,0.00002232319],"domain_scores_gemma":[0.9999214,0.00002199627,0.00002242712,0.00001463785,0.000006754275,0.00001266407],"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":[0.00002998704,0.00001271957,0.00006904592,0.00001266328,0.000002176071,0.00002756946,0.00001452074,0.0002011875,0.9978606,0.0002110268,0.00002399748,0.001534617],"study_design_scores_gemma":[0.000009283804,0.00009053653,0.0005836713,0.000001736489,0.000006916997,0.0001011217,0.000005488839,0.001447677,0.9948418,0.00003961465,0.002870262,0.000001990849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602004,0.0005195463,0.03508873,0.00007941874,0.00003535342,0.0001918298,0.000679648,0.0005729006,0.002632153],"genre_scores_gemma":[0.9859243,0.0003089868,0.01059438,0.00002884534,0.000006283561,0.00006415848,0.0007900541,0.00005719253,0.002225824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001160861,"threshold_uncertainty_score":0.003883481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00969154035577284,"score_gpt":0.2603412472414822,"score_spread":0.2506497068857094,"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."}}