{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006370962,0.0001918796,0.0002854834,0.0004294391,0.0003605299,0.0004614528,0.0001645445,0.0002712441,0.001675296],"category_scores_gemma":[0.002037635,0.0000673536,0.0001801673,0.0003538535,0.0001771398,0.0002644316,0.0002663816,0.0003436792,0.0003117244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023761,"about_ca_system_score_gemma":0.0004560031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003552061,"about_ca_topic_score_gemma":0.0009200831,"domain_scores_codex":[0.9995746,0.0002569761,0.00003084918,0.00003368948,0.00004220831,0.00006167791],"domain_scores_gemma":[0.9994302,0.0001918438,0.0001178959,0.00001907666,0.00003208702,0.0002087788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001901003,0.0004505172,0.9104587,0.00003771765,0.00005606161,0.0008233855,0.000161005,0.0008771403,0.002989249,0.0002813035,0.002660792,0.07930322],"study_design_scores_gemma":[0.0002910429,0.002844906,0.9757358,0.00008856875,0.0001271956,0.004922286,0.0007240431,0.006146465,0.003642034,0.001041659,0.00439942,0.00003650626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963083,0.0007063956,0.0006557698,0.0007208392,0.00002997799,0.00004087896,0.00005394629,0.00001298578,0.001470958],"genre_scores_gemma":[0.9986576,0.0002541001,0.0006512902,0.0001240953,0.0000584257,0.00002216775,0.0001100853,0.000002884801,0.0001194195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001675296,"threshold_uncertainty_score":0.005604446,"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."}}