{"id":"W2590368876","doi":"10.1182/blood.v110.11.3307.3307","title":"Predictors of Transformation to Myelodysplasia/Acute Myelogenous Leukemia (MDS/AML) in Severe Congenital Neutropenia (SCN).","year":2007,"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":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Neutropenia; Congenital Neutropenia; Internal medicine; Promyelocyte; Bone marrow; Myelopoiesis; Absolute neutrophil count; Leukemia; Hematopoietic stem cell transplantation; Gastroenterology; Population; Transplantation; Pediatrics; Haematopoiesis; Chemotherapy; Stem cell","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":[0.0004438196,0.0002131022,0.0001819503,0.0005637014,0.0002758274,0.000411571,0.0002452413,0.0003953292,0.001425258],"category_scores_gemma":[0.002262752,0.0001409512,0.0002396229,0.0006297436,0.0002386925,0.0003038624,0.0003334746,0.0005243509,0.0002413055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052872,"about_ca_system_score_gemma":0.0003249011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002481738,"about_ca_topic_score_gemma":0.002389542,"domain_scores_codex":[0.9997155,0.00007311117,0.00004559038,0.00005298184,0.00005892793,0.00005382854],"domain_scores_gemma":[0.9975557,0.0004869951,0.001142084,0.00006684165,0.0001823207,0.0005660221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005883578,0.000007520737,0.9991673,0.000002291682,0.000003934124,0.0001366028,0.000009415475,0.00003235954,0.0001297523,0.000004028253,0.00004162218,0.0004064856],"study_design_scores_gemma":[0.000002719126,0.00007476514,0.9985027,0.000002412304,0.00000746981,0.0009795928,0.00005136617,0.0001798338,0.0000737111,0.000006987413,0.0001168385,0.000001515495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999278,0.0001835408,0.00003815404,0.00003259963,0.000004587433,0.000004153516,0.0001842838,0.000003791238,0.0002708905],"genre_scores_gemma":[0.999612,0.00003359456,0.00003895841,0.000007255874,0.000006829667,0.00000252093,0.0002560903,9.647274e-7,0.0000418308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002481738,"threshold_uncertainty_score":0.004934609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004130487698422232,"score_gpt":0.2135002792442128,"score_spread":0.2093697915457906,"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."}}