{"id":"W2305816079","doi":"10.1182/blood.v124.21.3245.3245","title":"Gfi136N As a Novel Marker and Therapeutic Target of MDS and AML","year":2014,"lang":"en","type":"article","venue":"Blood","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"","keywords":"Myeloid leukemia; Decitabine; Myelodysplastic syndromes; Leukemia; Oncology; Exome sequencing; Myeloid; Internal medicine; Population; Biology; Haematopoiesis; Medicine; Immunology; Bone marrow; Genetics; Stem cell; Mutation; DNA methylation; Gene","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":[0.0002045451,0.0002196306,0.0002671311,0.0004084564,0.0001104317,0.0003158645,0.000180898,0.0002201582,0.001246333],"category_scores_gemma":[0.0002623981,0.00007427883,0.0001926479,0.0003824994,0.0001870957,0.0001371222,0.0002184513,0.0002371749,0.0002296284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005875945,"about_ca_system_score_gemma":0.0002657289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007228368,"about_ca_topic_score_gemma":0.000880952,"domain_scores_codex":[0.9999224,0.00001856924,0.000006529832,0.00001837535,0.00002196776,0.00001211582],"domain_scores_gemma":[0.9999297,0.00001346337,0.0000313774,0.000005371512,0.000008338599,0.00001177308],"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":[0.002449109,0.0001046955,0.1144694,0.0005515288,0.0001663336,0.002454911,0.0001697239,0.002621396,0.7032899,0.002423993,0.002441698,0.1688573],"study_design_scores_gemma":[0.0003440182,0.002164945,0.4847933,0.0002493699,0.0005820846,0.02328036,0.0003994856,0.009911172,0.3510889,0.004816761,0.1223035,0.00006599748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716938,0.0191196,0.00200353,0.0009405882,0.00005951081,0.00003903991,0.0008036734,0.00007130307,0.005268878],"genre_scores_gemma":[0.9939912,0.002485051,0.001521739,0.0001156117,0.00002035595,0.00001501303,0.0006307226,0.000007800031,0.001212517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001246333,"threshold_uncertainty_score":0.004263341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004685979672469749,"score_gpt":0.2123238767709577,"score_spread":0.2076378970984879,"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."}}