{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002248837,0.0003189897,0.0002896014,0.001327913,0.0005223575,0.0005798858,0.0001926178,0.0003181308,0.001812397],"category_scores_gemma":[0.000915828,0.0002326365,0.0001908092,0.001083067,0.0004475458,0.0001448248,0.0004157904,0.0003596384,0.0002142885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252408,"about_ca_system_score_gemma":0.0003430744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004453112,"about_ca_topic_score_gemma":0.004392309,"domain_scores_codex":[0.999709,0.00004415995,0.00002807342,0.00007268716,0.00007810005,0.00006797957],"domain_scores_gemma":[0.9996272,0.0001455861,0.000114119,0.00002139562,0.00002713061,0.00006443143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000185829,0.00002615309,0.9824942,0.00002423236,0.00002081145,0.00299298,0.0003592419,0.0002101555,0.009734407,0.0001077387,0.0001691753,0.003675204],"study_design_scores_gemma":[0.00003337083,0.0001914587,0.9738646,0.00001905315,0.00005998477,0.01766139,0.000592951,0.0004290708,0.005222773,0.0001208486,0.00179416,0.00001029972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992403,0.0001024351,0.00009317975,0.00001381432,0.000001470206,0.000007526912,0.0002056259,0.000006931835,0.0003288876],"genre_scores_gemma":[0.9993094,0.0001237828,0.000198653,0.00001865854,0.000002522021,0.00000666837,0.0002404788,0.000004637937,0.00009521881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004453112,"threshold_uncertainty_score":0.008854389,"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."}}