{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002139064,0.0004273204,0.0008042316,0.0000968061,0.0004880599,0.0001164478,0.0004369565,0.000376541,0.0004099373],"category_scores_gemma":[0.0001115505,0.0003352055,0.0001932978,0.0001376399,0.0004274231,0.0002616675,0.0004040874,0.0002809792,0.00005086896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461277,"about_ca_system_score_gemma":0.002459266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002859193,"about_ca_topic_score_gemma":0.00001226243,"domain_scores_codex":[0.9969476,0.00006440797,0.0005876943,0.0007625749,0.0008960565,0.00074169],"domain_scores_gemma":[0.9975184,0.00006790197,0.0005711654,0.0009354783,0.00050625,0.0004007884],"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":[0.002588877,0.0001683112,0.02434302,0.002366397,0.0006395197,0.0004752894,0.0003998509,0.00008492567,0.9220609,0.0005930158,0.003714176,0.04256569],"study_design_scores_gemma":[0.01277155,0.0008227773,0.005965369,0.001897623,0.0009294928,0.0004720359,0.0001909172,0.006898708,0.9681587,0.0007176514,0.0005770493,0.0005981833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929825,0.001801334,0.00118046,0.0003213177,0.0006568146,0.001207233,0.0001582963,0.00008100243,0.001611023],"genre_scores_gemma":[0.9807335,0.005874239,0.007904866,0.0001693043,0.0005137519,0.0002979987,0.00005701265,0.00009991314,0.0043494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04609772,"threshold_uncertainty_score":0.99991,"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."}}