{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001023834,0.00009087379,0.00009974438,0.00002243894,0.0000238966,0.000007404321,0.00009543119,0.00009641341,0.000007353729],"category_scores_gemma":[0.00001661068,0.00009679484,0.00004107723,0.00004626873,0.00002601914,0.000001743287,0.00005189074,0.00005603326,0.000005084161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008971796,"about_ca_system_score_gemma":0.00003043094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002055122,"about_ca_topic_score_gemma":0.000003940057,"domain_scores_codex":[0.9994306,0.00001215351,0.0001558216,0.0001654081,0.00009352403,0.0001424715],"domain_scores_gemma":[0.9996319,0.0000019747,0.0000514274,0.0001926675,0.00004902977,0.00007293217],"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":[0.000001966372,0.0000442509,0.0002181467,0.00002366329,0.0000221695,0.000001133774,0.00009231579,0.0001663465,0.9980336,0.000006854098,0.001319611,0.00006991021],"study_design_scores_gemma":[0.0005868552,0.0001602232,0.0002189619,0.000007498507,0.00002697428,0.00001285094,0.0001497186,0.000007543723,0.9939618,0.00002607706,0.004736216,0.000105248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962065,0.001072407,0.001254367,0.00001066511,0.0001397447,0.00006605108,0.00001018979,0.00001159854,0.001228518],"genre_scores_gemma":[0.9988124,0.00002027181,0.0003717527,0.00001604747,0.0003714207,0.000005515585,0.0000668889,0.00001708143,0.0003186487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0040718,"threshold_uncertainty_score":0.3947179,"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."}}