{"id":"W2592005338","doi":"10.1182/blood.v128.22.1680.1680","title":"Genetic Determinants of Response to Guadecitabine (SGI-110) in AML","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Decitabine; Biology; International Prognostic Scoring System; CEBPA; Internal medicine; Genetics; Medicine; Mutation; Myelodysplastic syndromes; Bone marrow; Gene; DNA methylation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004066929,0.0001359266,0.0002117452,0.0004865155,0.0001385558,0.0003066015,0.000169683,0.0003158925,0.00118075],"category_scores_gemma":[0.00142396,0.00006660915,0.0001126162,0.0004763921,0.0002263741,0.0001343233,0.0001857172,0.0002165195,0.0002462138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130432,"about_ca_system_score_gemma":0.0001273567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006725554,"about_ca_topic_score_gemma":0.0004854824,"domain_scores_codex":[0.9996345,0.0001052516,0.00004661117,0.00009899386,0.00006724226,0.00004745567],"domain_scores_gemma":[0.9992949,0.000251329,0.0002471246,0.00003426242,0.00005354913,0.000118796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004024064,0.00008967549,0.949366,0.00002927502,0.00009179192,0.0005111775,0.00009547235,0.0007769161,0.02882,0.00009404195,0.000239933,0.01586165],"study_design_scores_gemma":[0.0000536926,0.0005235983,0.9906466,0.000006269592,0.00005363176,0.001732072,0.00007520444,0.001089603,0.005149717,0.0001406696,0.0005232028,0.000005786421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994974,0.0001217875,0.00005834104,0.0000204317,0.00000120078,0.000004499099,0.0001216594,0.000003188332,0.0001714678],"genre_scores_gemma":[0.999733,0.00001918032,0.00005876201,0.00001024872,0.0000023063,0.000002594188,0.00012653,0.000001945134,0.00004545664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00118075,"threshold_uncertainty_score":0.00394994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838241790474552,"score_gpt":0.3061938111083412,"score_spread":0.2878113932035956,"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."}}