{"id":"W2921394315","doi":"10.1182/blood-2018-99-115611","title":"Quantitative Modeling of Ineffective Hematopoiesis in Myelodysplastic Syndrome Patients Yields Distinct Clinical Phenotypes and Can Identify a State of Disease Predictive of Loss of Response to Azacitidine","year":2018,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; University of Toronto","funders":"","keywords":"Haematopoiesis; Myelodysplastic syndromes; Bone marrow; International Prognostic Scoring System; Myeloid; Disease; Progenitor cell; Immunology; Oncology; Population; Medicine; Internal medicine; Biology; Bioinformatics; Stem cell; 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":[0.0006340572,0.0004964269,0.0003446497,0.0003802266,0.0001471606,0.000729819,0.0004047523,0.0005621752,0.0009870201],"category_scores_gemma":[0.002018119,0.0002359114,0.0005739926,0.0002111199,0.0004299175,0.0002959833,0.0003195139,0.0004300755,0.000107143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000875343,"about_ca_system_score_gemma":0.0005813955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008864759,"about_ca_topic_score_gemma":0.004159644,"domain_scores_codex":[0.9998919,0.00003344554,0.000005745595,0.00003014062,0.00001786558,0.00002086814],"domain_scores_gemma":[0.9992455,0.0004712733,0.0001679211,0.00002672325,0.00005068248,0.00003787766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006904144,0.00003467019,0.01451361,0.00002084104,0.00003101453,0.00006818166,0.00003427968,0.9792427,0.002586532,0.001532362,0.0001255486,0.001741301],"study_design_scores_gemma":[0.000006837208,0.00002314461,0.001571404,0.000002467941,0.000006956353,0.00001898685,0.000007044953,0.9974449,0.0002555639,0.0005919047,0.00006710809,0.000003687719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084516,0.0002284604,0.08796629,0.0004227178,0.00001746167,0.00006633126,0.0006981771,0.0001734626,0.001975657],"genre_scores_gemma":[0.9959152,0.000055451,0.002896256,0.0000234613,0.000003916308,0.00003867709,0.0002217537,0.00001009218,0.0008352527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008864759,"threshold_uncertainty_score":0.01762635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453993713328124,"score_gpt":0.3377640216640466,"score_spread":0.3132240845307653,"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."}}