{"id":"W4410724429","doi":"10.1093/molbev/msaf105","title":"Nonhypermutator Cancers Access Driver Mutations Through Reversals in Germline Mutational Bias","year":2025,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of General Medical Sciences; Agencia Estatal de Investigación; Horizon 2020 Framework Programme; National Institutes of Health; Generalitat de Catalunya; Natural Sciences and Engineering Research Council of Canada; European Commission; Ministerio de Ciencia e Innovación; Centres de Recerca de Catalunya","keywords":"Biology; Germline; Germline mutation; Mutation; Genetics; Somatic cell; Mutation rate; Cancer; Mutation Accumulation; Cancer research; 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":[0.0002639128,0.0001992695,0.0001902629,0.0005713375,0.0001750615,0.000518015,0.0002049832,0.0002412356,0.001626346],"category_scores_gemma":[0.0004504519,0.0001851228,0.0001443386,0.0002535061,0.0003481355,0.0003357539,0.0003667393,0.0003836703,0.0003356705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226058,"about_ca_system_score_gemma":0.0001552607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004292363,"about_ca_topic_score_gemma":0.0008217002,"domain_scores_codex":[0.9997795,0.00002748898,0.0000153215,0.00006192433,0.00007335506,0.00004244404],"domain_scores_gemma":[0.9996289,0.0000642221,0.0001325847,0.00005897854,0.00005694626,0.00005829081],"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":[0.0001075257,0.00002285992,0.01854499,0.00003248634,0.00002164666,0.000154636,0.00005614378,0.0001570767,0.9726086,0.000570317,0.00009618769,0.007627574],"study_design_scores_gemma":[0.0000219172,0.0003980654,0.2142519,0.00001525037,0.00006008405,0.003803665,0.0001757494,0.002133692,0.7718714,0.001451544,0.005796451,0.00002034193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936547,0.0006300703,0.003387549,0.00005459351,0.000007932245,0.00001390383,0.0002108196,0.0001444463,0.001895966],"genre_scores_gemma":[0.9964526,0.0002725193,0.001946286,0.00007613852,0.000005469075,0.00001086062,0.0001804776,0.00005003496,0.001005594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001626346,"threshold_uncertainty_score":0.005440652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224598992125981,"score_gpt":0.318577358898519,"score_spread":0.3063313689772592,"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."}}