{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001694439,0.0003640859,0.0001902848,0.000253294,0.0001112079,0.0003714024,0.0004384061,0.0003754871,0.0009208675],"category_scores_gemma":[0.0001113387,0.0002106931,0.000235221,0.0001147895,0.0002271499,0.0001556065,0.0003224553,0.0006250088,0.0001509993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730302,"about_ca_system_score_gemma":0.0002264037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005884026,"about_ca_topic_score_gemma":0.0007080299,"domain_scores_codex":[0.999874,0.00002108865,0.000007560363,0.00003082224,0.0000464287,0.00002006696],"domain_scores_gemma":[0.9999416,0.00001181837,0.00002230873,0.00000764676,0.000004271695,0.00001241033],"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":[0.00006168038,0.00004848257,0.0001808562,0.00004021777,0.000009314514,0.00009352437,0.00002085601,0.003567041,0.9903744,0.00180251,0.00009721175,0.003703954],"study_design_scores_gemma":[0.00004366547,0.0004920283,0.0006089321,0.00001109261,0.00003718011,0.0004502455,0.00001760755,0.02663739,0.957303,0.0005216142,0.01386628,0.00001086678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192565,0.002413164,0.1682137,0.0003238844,0.00009386292,0.0004221925,0.001034058,0.0009411512,0.007301452],"genre_scores_gemma":[0.9558364,0.001674665,0.03818029,0.0000501596,0.0000108038,0.0002301208,0.0004561353,0.00007132781,0.003490075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009208675,"threshold_uncertainty_score":0.003080606,"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."}}