{"id":"W3121321861","doi":"10.1182/blood.2020009103","title":"Modeling and targeting of erythroleukemia by hematopoietic genome editing","year":2021,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; European Hematology Association","keywords":"Biology; GATA1; Epigenetics; Decitabine; Genetics; Somatic evolution in cancer; Leukemia; Transcription factor; Cancer research; DNA methylation; Gene; Gene expression","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":[0.0002826423,0.0001119653,0.0003054424,0.0000536874,0.00006453489,0.00001571492,0.00006173535,0.00009058811,0.00008242281],"category_scores_gemma":[0.0003467982,0.0001088389,0.00005489891,0.000181807,0.00005486479,0.00005463959,0.0001433601,0.0002784006,0.000007934604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005486416,"about_ca_system_score_gemma":0.000263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003313398,"about_ca_topic_score_gemma":0.000001207765,"domain_scores_codex":[0.9988016,0.00003593503,0.0002964603,0.0002729317,0.0002929661,0.0003001406],"domain_scores_gemma":[0.9993461,0.00005951384,0.00004769224,0.0002175271,0.0001866716,0.0001424895],"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":[0.00002214313,0.000224491,0.003907677,0.0006749333,0.0001721652,0.0002876747,0.0007233962,0.0001252381,0.992498,0.0001003031,0.000697834,0.0005661797],"study_design_scores_gemma":[0.01655483,0.0003976548,0.0008001142,0.0008666553,0.000823337,0.002411768,0.006896041,0.1167677,0.8509306,0.0005347756,0.002355668,0.0006608425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899942,0.00628531,0.001247653,0.0004970105,0.00002718355,0.000115211,0.00001197474,0.00003642521,0.001784992],"genre_scores_gemma":[0.9919738,0.0002888226,0.0069767,0.0001400502,0.0002494459,0.000007407807,0.00005492712,0.00003107471,0.0002777423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1415674,"threshold_uncertainty_score":0.443832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011969102595615,"score_gpt":0.2564444647818105,"score_spread":0.2444753621861955,"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."}}