{"id":"W4409175313","doi":"10.1101/2025.04.03.25325166","title":"<i>APC</i> I1307K and clinical management: insights from UK Biobank association analysis of colorectal and other cancer risks in Ashkenazi and non-Ashkenazi whites","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Agencia Estatal de Investigación; Instituto de Salud Carlos III; Centro de Investigación Biomédica en Red de Cáncer; Agència de Gestió d'Ajuts Universitaris i de Recerca; Cancer Research UK; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Centres de Recerca de Catalunya","keywords":"Biobank; Colorectal cancer; Medicine; Association (psychology); Cancer; Oncology; Genetics; Internal medicine; Psychology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011747,0.0002182121,0.0003747002,0.001335403,0.0002734613,0.0006717446,0.0002983704,0.0004385674,0.001368426],"category_scores_gemma":[0.008900221,0.0001797109,0.0003866605,0.002292133,0.0003332975,0.0002485937,0.0007518482,0.000360807,0.0002322198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272103,"about_ca_system_score_gemma":0.0003141126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969532,"about_ca_topic_score_gemma":0.01792697,"domain_scores_codex":[0.9983168,0.0008806799,0.0001946324,0.0002683098,0.000233476,0.0001061941],"domain_scores_gemma":[0.995145,0.001916567,0.001757396,0.0004056044,0.0005042968,0.000271043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003061335,0.00001774744,0.9899625,0.00008598916,0.0001706734,0.0002711089,0.000550898,0.0001366222,0.0009890969,0.0001434112,0.001053317,0.006312485],"study_design_scores_gemma":[0.00001310997,0.00004354951,0.9979447,0.00003970283,0.0000864374,0.0003322762,0.0001964933,0.0002808452,0.0001013266,0.00008868008,0.000866121,0.000006624084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953089,0.001590555,0.0004579018,0.0003836836,0.00001392125,0.00001484318,0.001355258,0.000005701094,0.0008692861],"genre_scores_gemma":[0.9975459,0.0005301539,0.0005801987,0.0001237182,0.00002645165,0.00001658275,0.0009593024,0.000007854037,0.0002099326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969532,"threshold_uncertainty_score":0.03916132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286279367593857,"score_gpt":0.3433233488023373,"score_spread":0.3146954120429516,"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."}}