{"id":"W3177050893","doi":"10.1182/blood.v130.suppl_1.1706.1706","title":"A Simple Tool for the Prediction of Azacytidine Treatment Failure in Patients with Myelodysplastic Syndrome","year":2017,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; London Health Sciences Centre; University of Toronto","funders":"","keywords":"Medicine; Myelodysplastic syndromes; International Prognostic Scoring System; Internal medicine; Bone marrow; Erythropoiesis; Ruxolitinib; Oncology; Cohort; Dosing; Myelofibrosis; Anemia; Surgery","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":[0.003454265,0.0009294722,0.001029768,0.006636644,0.0003411912,0.001399742,0.00070978,0.0008504445,0.003431888],"category_scores_gemma":[0.01167602,0.0002903075,0.0009405239,0.002208174,0.0003446139,0.001100271,0.0009067748,0.0007820935,0.001488592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953694,"about_ca_system_score_gemma":0.000470909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006589743,"about_ca_topic_score_gemma":0.0009516525,"domain_scores_codex":[0.9968015,0.001045557,0.0007173459,0.0003360916,0.0009684184,0.0001310848],"domain_scores_gemma":[0.9900624,0.004123876,0.003524286,0.000441087,0.001277229,0.0005710894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006441873,0.00008829814,0.9666834,0.00009589802,0.0001417344,0.0001702826,0.00007190565,0.000783633,0.001063828,0.0001421373,0.001644406,0.02847014],"study_design_scores_gemma":[0.00009019076,0.001053298,0.9689724,0.0001472925,0.0001821686,0.002516485,0.0002058078,0.01997066,0.002174636,0.0005197768,0.004103047,0.0000642849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601102,0.002380864,0.01745133,0.0007884236,0.0002187914,0.0006821409,0.0100604,0.0008410802,0.007466674],"genre_scores_gemma":[0.9730848,0.0004314606,0.02127399,0.000135143,0.0001367288,0.0004394527,0.003538586,0.0000275533,0.0009323033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006636644,"threshold_uncertainty_score":0.01826811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499731976503255,"score_gpt":0.2604851388817461,"score_spread":0.2454878191167135,"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."}}