{"id":"W2590329281","doi":"10.1182/blood.v128.22.52.52","title":"Longitudinal Tracking of MDS Patients Using Next Generation Sequencing Provides a Predictive Measure for Azacitidine Response and AML Progression","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Azacitidine; Myelodysplastic syndromes; Oncology; Internal medicine; Medicine; Myeloid leukemia; International Prognostic Scoring System; Hypomethylating agent; Bone marrow; Biology; Gene; Genetics","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":[0.0004700791,0.0001616355,0.0002218043,0.0004269671,0.0001879734,0.0003458376,0.0001460384,0.0002559049,0.0009565327],"category_scores_gemma":[0.00102191,0.0001250188,0.0001594462,0.0002766578,0.00009100151,0.0002019391,0.0001982581,0.0002895739,0.0002423842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734495,"about_ca_system_score_gemma":0.0001248935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008730981,"about_ca_topic_score_gemma":0.00133291,"domain_scores_codex":[0.9998484,0.00003545484,0.0000180272,0.00005174184,0.0000301096,0.00001622842],"domain_scores_gemma":[0.9993443,0.0001578312,0.0002739468,0.0000489151,0.00009285792,0.00008215732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005018933,0.00004363738,0.9832787,0.000009900056,0.00002875219,0.00004489455,0.0000472728,0.0002618904,0.008551145,0.00001989226,0.000117123,0.007094979],"study_design_scores_gemma":[0.00001475621,0.0004481876,0.9903837,0.00001027838,0.00005003941,0.0004862924,0.00006427841,0.003549671,0.004329839,0.00005576175,0.000600466,0.000006679331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983701,0.0002329143,0.0006527232,0.00002012569,0.000003508693,0.00001000741,0.0004664237,0.00001401229,0.0002303178],"genre_scores_gemma":[0.9980391,0.0000859135,0.0008889242,0.00001631197,0.000005465894,0.00001521358,0.0007253254,0.000002292817,0.0002215636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009565327,"threshold_uncertainty_score":0.003199935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115385039383237,"score_gpt":0.3352456667797034,"score_spread":0.2198606273964664,"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."}}