{"id":"W2170959495","doi":"10.1080/15592294.2015.1061174","title":"Epigenetic landscape correlates with genetic subtype but does not predict outcome in childhood acute lymphoblastic leukemia","year":2015,"lang":"en","type":"article","venue":"Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Wellcome Trust; Leukemia and Lymphoma Research","keywords":"Biology; DNA methylation; Epigenetics; Methylation; CpG site; Genetics; Epigenomics; Locus (genetics); Gene; Bioinformatics; Cancer research; Immunology; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003303892,0.0001366101,0.0002595628,0.000493865,0.000152248,0.0003500875,0.0001678933,0.0001892166,0.0006236596],"category_scores_gemma":[0.001065696,0.0001151422,0.000152779,0.0005544818,0.0002384132,0.0001194158,0.0002668236,0.0001957521,0.0001461127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251601,"about_ca_system_score_gemma":0.000153108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547908,"about_ca_topic_score_gemma":0.004095683,"domain_scores_codex":[0.9997332,0.000065256,0.00002873514,0.00007132923,0.00005842813,0.00004314314],"domain_scores_gemma":[0.9994794,0.0001168997,0.0002364997,0.00006356167,0.00003763915,0.00006611278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002719679,0.00001336173,0.9875236,0.00001120063,0.00003917607,0.0001254679,0.00006634902,0.0001197657,0.008061722,0.00002294678,0.00004112631,0.00370334],"study_design_scores_gemma":[0.000003117539,0.00004368585,0.9985555,0.000001690784,0.00001897675,0.0004042456,0.00003846375,0.0001561084,0.0006137019,0.00003350711,0.0001295931,0.000001454687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995236,0.0001132898,0.00006878166,0.00001135567,7.691574e-7,0.000002365618,0.0001055681,0.000003286889,0.0001710142],"genre_scores_gemma":[0.9995793,0.00006403671,0.00006451921,0.000008936491,0.000001688453,0.000002891255,0.0002024143,0.000002778526,0.00007347428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547908,"threshold_uncertainty_score":0.005066156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063007997657896,"score_gpt":0.2350819917704462,"score_spread":0.2244519117938673,"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."}}