{"id":"W4405320643","doi":"10.1158/2159-8290.cd-24-0878","title":"Predisposition Footprints in the Somatic Genome of Wilms Tumors","year":2024,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"NIHR Great Ormond Street Hospital Biomedical Research Centre; Deutsche Forschungsgemeinschaft; Wenner-Gren Stiftelserna; University of Cambridge; NIHR Cambridge Biomedical Research Centre; Wellcome Trust; National Institute for Health and Care Research; Little Princess Trust; Deutsche Krebshilfe; Wilhelm Sander-Stiftung","keywords":"Somatic cell; Wilms' tumor; Wilms tumour; Genome; Biology; Genetics; Genetic predisposition; Computational biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007050491,0.00006693554,0.00006948067,0.00002658679,0.00001495157,0.00002430381,0.0001181167,0.00005094719,0.000007930762],"category_scores_gemma":[0.0000038235,0.00004198409,0.00006329987,0.0001073452,0.0000519137,0.000006730934,0.00002410044,0.00006965161,0.000002506288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002422794,"about_ca_system_score_gemma":0.00009920958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005359047,"about_ca_topic_score_gemma":0.00002335337,"domain_scores_codex":[0.9995224,0.00002375792,0.000122657,0.0001477782,0.00008217987,0.0001011698],"domain_scores_gemma":[0.9998134,0.000006155164,0.00002507536,0.0001334056,0.000008532325,0.00001338268],"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":[0.0000786774,0.00004121523,0.002954172,0.0003979186,0.0001238756,0.00001938012,0.0005427658,0.003293764,0.9881378,0.0004819806,0.0006621532,0.003266252],"study_design_scores_gemma":[0.001410107,0.0007666455,0.2080382,0.002571448,0.000235694,0.00009707439,0.00150398,0.000915639,0.7562692,0.003060178,0.024295,0.0008369135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98763,0.01005047,0.0002071108,0.0002075678,0.0002053009,0.0001177193,0.00002740055,0.000004106245,0.001550368],"genre_scores_gemma":[0.9978757,0.001327152,0.000006071555,0.0001016069,0.0001467555,0.00004972798,0.00003226016,0.000008359394,0.0004523502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2318687,"threshold_uncertainty_score":0.1712062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00602928684431275,"score_gpt":0.2469512702521758,"score_spread":0.2409219834078631,"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."}}