{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000418856,0.0003080522,0.0003153356,0.000724612,0.0003012363,0.000599693,0.0002292086,0.0003817364,0.004868974],"category_scores_gemma":[0.001530589,0.0001490977,0.0004132919,0.001068203,0.0002884991,0.0002299685,0.0004507178,0.0005429884,0.0003692815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054703,"about_ca_system_score_gemma":0.0001457472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353152,"about_ca_topic_score_gemma":0.002226898,"domain_scores_codex":[0.99958,0.00008212085,0.0000363043,0.0001668519,0.00007183113,0.00006281333],"domain_scores_gemma":[0.9992017,0.0002560423,0.0003207511,0.00007805715,0.00005190101,0.00009147327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000520465,0.00002177729,0.9816869,0.00003945078,0.000265302,0.0009978819,0.00004384488,0.0002625106,0.009049986,0.00014552,0.001003131,0.005963199],"study_design_scores_gemma":[0.00004105338,0.00008497888,0.9881689,0.00003174442,0.0002213204,0.005997011,0.0001108176,0.001188655,0.002237929,0.0003876249,0.001518356,0.00001163157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964654,0.0005893781,0.0003536389,0.00008053461,0.000005680317,0.000005671494,0.001931319,0.00002850807,0.0005398113],"genre_scores_gemma":[0.9986008,0.000127671,0.0001407597,0.00004351112,0.00001098034,0.000003726308,0.0009235189,0.000007975563,0.0001412256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004868974,"threshold_uncertainty_score":0.0162884,"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."}}