{"id":"W4410174850","doi":"10.1038/s41375-025-02635-1","title":"Predisposition to hematopoietic malignancies by deleterious germline CHEK2 variants","year":2025,"lang":"en","type":"article","venue":"Leukemia","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Leukemia & Lymphoma Society of Canada; University of British Columbia","funders":"Terry Fox Foundation; National Cancer Institute; Government of Canada; V Foundation for Cancer Research; Cancer Research Foundation; Northwestern University; Canadian Institutes of Health Research; Veski; Leukemia and Lymphoma Society; Leukemia and Lymphoma Society of Canada","keywords":"CHEK2; Myeloid leukemia; Germline; Myeloid; Leukemia; Biology; Allele; Loss of heterozygosity; Cancer research; Internal medicine; Germline mutation; Immunology; Genetics; Medicine; Gene; Mutation","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":[0.0002583084,0.0002377854,0.0004077504,0.0002455546,0.000122101,0.00005505945,0.0002473267,0.0002062635,0.0002270725],"category_scores_gemma":[0.0002228051,0.0002181766,0.0001012213,0.0006887537,0.00007973585,0.0000937826,0.0001884108,0.0003627212,0.0004109918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854723,"about_ca_system_score_gemma":0.0008686437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001806885,"about_ca_topic_score_gemma":0.00000910233,"domain_scores_codex":[0.9981224,0.0000521758,0.0003775211,0.0004832619,0.0003958519,0.0005687811],"domain_scores_gemma":[0.9988176,0.00008053442,0.00004894409,0.0006057234,0.0001713036,0.0002759323],"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":[0.0005976496,0.0001228808,0.002379407,0.0004976919,0.0001613167,0.0003081425,0.0005007939,0.00001847905,0.601734,0.0009371932,0.3839971,0.008745354],"study_design_scores_gemma":[0.01279972,0.001854448,0.1137713,0.003115141,0.0006867883,0.001094393,0.0006094911,0.00725912,0.6469529,0.001825975,0.2084802,0.001550448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740343,0.00045432,0.006803414,0.006546908,0.0002215439,0.0009439962,0.00005402544,0.0002285824,0.01071289],"genre_scores_gemma":[0.9646539,0.00006217494,0.002461416,0.006749655,0.0001663626,0.0001616143,0.0001400744,0.00004281431,0.02556196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755168,"threshold_uncertainty_score":0.8896983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008917620548598631,"score_gpt":0.2836538629235313,"score_spread":0.2747362423749327,"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."}}