{"id":"W2035068694","doi":"10.1182/blood-2010-01-263624","title":"Optimizing patient selection for myeloablative allogeneic hematopoietic cell transplantation in chronic myeloid leukemia in chronic phase","year":2010,"lang":"en","type":"article","venue":"Blood","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre","funders":"National Institutes of Health; Medical Research Council; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research","keywords":"Medicine; Internal medicine; Myeloid leukemia; Transplantation; Hematopoietic stem cell transplantation; Oncology; Imatinib; Imatinib mesylate; Hematopoietic cell; Chronic leukemia; Univariate analysis; Leukemia; Multivariate analysis; Immunology; Haematopoiesis; Acute leukemia; Stem cell; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002136948,0.0003380137,0.0004680248,0.0003571084,0.0000823003,0.00002005613,0.0001037986,0.0002759337,0.0001370638],"category_scores_gemma":[0.00003591726,0.0003382546,0.0001342328,0.0004446731,0.00005645843,0.0001650806,0.00001874005,0.0005486782,0.0000265016],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006323899,"about_ca_system_score_gemma":0.003188774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003675733,"about_ca_topic_score_gemma":0.003512554,"domain_scores_codex":[0.9978631,0.00005497309,0.0005978211,0.0005928644,0.0002660818,0.0006251502],"domain_scores_gemma":[0.9991873,0.0001335953,0.0001773894,0.0002871393,0.00007170028,0.0001428764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006072432,0.001251038,0.005682992,0.001054423,0.0001197743,0.0001511287,0.003821648,0.004425874,0.9740278,0.00005894795,0.00002829553,0.008770849],"study_design_scores_gemma":[0.07133543,0.003293172,0.006202458,0.0005130505,0.0005124173,0.0003189376,0.0001744172,0.01409494,0.9024745,0.00009212096,0.0004875349,0.0005009841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956032,0.0009092262,0.0005479083,0.00005115054,0.0001524443,0.002098898,0.00002736299,0.00007839886,0.0005314275],"genre_scores_gemma":[0.9943593,0.0003295138,0.004012378,0.00004861215,0.0002197464,0.0005978302,0.0002524617,0.00006723672,0.0001129512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07155325,"threshold_uncertainty_score":0.999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141152482688384,"score_gpt":0.2692569028110168,"score_spread":0.2578453779841329,"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."}}