{"id":"W2740130618","doi":"10.1002/gcc.22486","title":"Copy number profiling of adult relapsed B‐cell precursor acute lymphoblastic leukemia reveals potential leukemia progression mechanisms","year":2017,"lang":"en","type":"article","venue":"Genes Chromosomes and Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Infection and Immunity; Sociedad Española de Hematología y Hemoterapia; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; Federación Española de Enfermedades Raras; Generalitat de Catalunya; Health Research","keywords":"CDKN2A; Multiplex ligation-dependent probe amplification; Somatic evolution in cancer; CDKN2B; Cancer research; Biology; PAX5; ETV6; clone (Java method); Leukemia; SNP array; Copy-number variation; Gene; Immunology; Genetics; Chromosomal translocation; Single-nucleotide polymorphism","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":[0.0001934062,0.0001483751,0.0001901606,0.0008931971,0.00007665047,0.0002988734,0.0001855889,0.0002183184,0.0005675931],"category_scores_gemma":[0.0006564163,0.0001277843,0.0001105172,0.0005369774,0.0001006597,0.0001139341,0.0001453064,0.0001333114,0.0002272456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153162,"about_ca_system_score_gemma":0.00006986857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000420474,"about_ca_topic_score_gemma":0.0005304939,"domain_scores_codex":[0.9998046,0.00002981091,0.00001555559,0.0000603426,0.00006377109,0.00002597551],"domain_scores_gemma":[0.9997906,0.00005889191,0.00007587776,0.00002439176,0.00002796631,0.00002222063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008422169,0.00004629408,0.1317314,0.00009943919,0.00007849673,0.0004641683,0.0001540949,0.0009636906,0.827081,0.00009229447,0.0001544392,0.0382924],"study_design_scores_gemma":[0.00002073201,0.0004104298,0.8528731,0.000009967695,0.000116677,0.003343979,0.00009163263,0.00539515,0.1356217,0.0001969686,0.001903714,0.00001597237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998174,0.0005603753,0.0005332442,0.00001740113,0.000001470835,0.000006869575,0.0004843774,0.0000393189,0.0001829853],"genre_scores_gemma":[0.9970957,0.0002788647,0.001271306,0.00001665786,0.000003919401,0.0000146158,0.0009536558,0.000009037499,0.0003562524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008931971,"threshold_uncertainty_score":0.001898766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155640132955893,"score_gpt":0.3036087417345866,"score_spread":0.2920523404050276,"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."}}