{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002386131,0.0001256272,0.0004008745,0.001719362,0.0006054513,0.002665515,0.0006445346,0.0004062353,0.002050804],"category_scores_gemma":[0.01132134,0.000141347,0.0001963093,0.001442841,0.001670186,0.002372379,0.001511269,0.0009042348,0.000166117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179776,"about_ca_system_score_gemma":0.0007959555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056263,"about_ca_topic_score_gemma":0.001353101,"domain_scores_codex":[0.9985991,0.0006611093,0.00006331943,0.0001932973,0.0002581018,0.0002250268],"domain_scores_gemma":[0.9960837,0.001854002,0.0007564436,0.0005503937,0.0003518353,0.0004036271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001557827,0.0003084263,0.4743034,0.0004346854,0.0003305421,0.001265081,0.008284716,0.003053064,0.02537007,0.2539015,0.009831189,0.2213595],"study_design_scores_gemma":[0.0001458536,0.0004002511,0.462958,0.0002983682,0.0002282323,0.004683245,0.01553128,0.00681982,0.008810611,0.4335049,0.06653462,0.00008493112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706343,0.009825441,0.003545614,0.007241347,0.0001194563,0.0000297407,0.0003098378,0.00004344133,0.008250916],"genre_scores_gemma":[0.9968791,0.001637618,0.0004376707,0.0004143135,0.000136384,0.00001414374,0.0001347894,0.00001248788,0.0003335156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002665515,"threshold_uncertainty_score":0.01304376,"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."}}