{"id":"W2319346806","doi":"10.1016/j.exphem.2014.07.109","title":"Evolving heterogeneity in acute lymphoblastic leukemia","year":2014,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"clone (Java method); Acute lymphocytic leukemia; Leukemia; Biology; Transplantation; Minimal residual disease; Somatic evolution in cancer; Oncology; Immunology; Disease; Cancer research; Medicine; Internal medicine; Lymphoblastic Leukemia; Cancer; Genetics; DNA","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":[],"consensus_categories":[],"category_scores_codex":[0.000214988,0.0002664882,0.0006324015,0.0002610339,0.00007671802,0.00001859633,0.0002140442,0.0002302531,0.0004209125],"category_scores_gemma":[0.00017687,0.0002443565,0.0001155546,0.0002702079,0.0002469363,0.0001107987,0.0002406566,0.0002405409,0.0005671306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216618,"about_ca_system_score_gemma":0.000384033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001210866,"about_ca_topic_score_gemma":0.00002101945,"domain_scores_codex":[0.9978066,0.0001350633,0.0004445027,0.0005415063,0.0003612812,0.0007110458],"domain_scores_gemma":[0.9988716,0.0002429537,0.00007236178,0.0004853681,0.00004801512,0.0002797178],"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":[0.004572482,0.003069141,0.2678809,0.0007101427,0.0009186222,0.006759745,0.003523888,0.0001034651,0.5824869,0.1073784,0.01889682,0.003699478],"study_design_scores_gemma":[0.009175545,0.0008999938,0.01268759,0.0001690644,0.00004285042,0.006042398,0.0002911446,0.03114968,0.9381676,0.0001744149,0.0008315361,0.0003681469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887066,0.001469583,0.001109895,0.0002103745,0.0002573473,0.0003866454,0.00000254641,0.0001183799,0.007738554],"genre_scores_gemma":[0.9966242,0.000009636346,0.002132667,0.0006759096,0.00009428883,0.0001031825,0.0000209607,0.00004980196,0.0002893626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3556808,"threshold_uncertainty_score":0.996457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514599260154005,"score_gpt":0.3147437664334681,"score_spread":0.2995977738319281,"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."}}