{"id":"W4214487748","doi":"10.1093/gbe/evac032","title":"How Sequence Context-Dependent Mutability Drives Mutation Rate Variation in the Genome","year":2022,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutation rate; Biology; Mutation; Genetics; Genome; Mutation Accumulation; Sequence (biology); Context (archaeology); Whole genome sequencing; Selection (genetic algorithm); Negative selection; DNA sequencing; DNA; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004730178,0.0001998541,0.0003025456,0.0003040982,0.0004263087,0.0008439003,0.0003169121,0.0005448885,0.001209419],"category_scores_gemma":[0.003518269,0.0002252758,0.0002713106,0.0003431551,0.0007253499,0.0009403549,0.0002956689,0.0004698329,0.0001922515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006499048,"about_ca_system_score_gemma":0.0005040041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003045649,"about_ca_topic_score_gemma":0.00320961,"domain_scores_codex":[0.9997471,0.00009764778,0.00001161342,0.00007693352,0.00003353795,0.00003327026],"domain_scores_gemma":[0.9991887,0.0004829394,0.0001230199,0.00007791171,0.0000539338,0.00007342471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003972813,0.0002033747,0.09425039,0.0002216057,0.0002628971,0.00103672,0.0006964079,0.4650211,0.3743927,0.04026078,0.0009768018,0.02228006],"study_design_scores_gemma":[0.00007746272,0.0003565016,0.07868838,0.00003436738,0.0001562382,0.0008413335,0.000439822,0.8366522,0.04601438,0.03364468,0.002945535,0.000149078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917222,0.0001218063,0.006258065,0.0001601072,0.00001292706,0.000009222015,0.00005986626,0.00005913873,0.001596762],"genre_scores_gemma":[0.9978539,0.0000928026,0.001743092,0.00003088325,0.000003384912,0.000007728996,0.00004093442,0.00001804031,0.0002092506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003045649,"threshold_uncertainty_score":0.006055832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034013125483774,"score_gpt":0.2406592091302942,"score_spread":0.2303190778754565,"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."}}