{"id":"W2945631713","doi":"10.1002/gcc.22765","title":"Predisposing germline mutations in high hyperdiploid acute lymphoblastic leukemia in children","year":2019,"lang":"en","type":"article","venue":"Genes Chromosomes and Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Cancer Institute; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Alex's Lemonade Stand Foundation for Childhood Cancer; U.S. Environmental Protection Agency","keywords":"Germline; Germline mutation; Penetrance; Biology; Cancer research; Genetics; Frameshift mutation; Mutation; Exome; Exome sequencing; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001067143,0.0002216709,0.0004472372,0.0002814667,0.00004619423,0.00003231625,0.0001162812,0.000145174,0.0003690677],"category_scores_gemma":[0.00002028011,0.0001917252,0.00005385217,0.0005039687,0.0001021975,0.000148585,0.0001157437,0.0001986849,0.00005023976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025747,"about_ca_system_score_gemma":0.001262693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649391,"about_ca_topic_score_gemma":0.000162775,"domain_scores_codex":[0.9983206,0.00003437353,0.0003425933,0.0004767641,0.0003284067,0.0004972608],"domain_scores_gemma":[0.9993668,0.00008364678,0.00006149228,0.0002748378,0.00005707096,0.0001561595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003101821,0.00009104092,0.9280329,0.0001955761,0.0002223307,0.0001285845,0.0004554671,0.002936349,0.0424173,0.00008694155,0.0001520164,0.0249713],"study_design_scores_gemma":[0.009100061,0.0002104174,0.974418,0.0004363544,0.0001275641,0.0003431898,0.0001059279,0.01108713,0.003472623,0.00008025474,0.0003344803,0.000284027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947532,0.003744525,0.00002064479,0.0003165801,0.0001593275,0.0006994958,0.00007559082,0.00003717413,0.0001934626],"genre_scores_gemma":[0.994801,0.00315487,0.0002760073,0.000278209,0.0002416127,0.0001328835,0.0001032999,0.00004599073,0.000966157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04638505,"threshold_uncertainty_score":0.7818327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006931537370761782,"score_gpt":0.264997026240529,"score_spread":0.2580654888697672,"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."}}