{"id":"W3156654664","doi":"10.1101/2021.04.12.439332","title":"Mutation rate dynamics reflect ecological change in an emerging zoonotic pathogen","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Newnham College, University of Cambridge; Biotechnology and Biological Sciences Research Council; Medical Research Council; Royal Society; Isaac Newton Trust; International Seafood Sustainability Foundation; Wellcome Trust","keywords":"Biology; Mutation rate; Carriage; Genome; Mutation; Genome size; Evolutionary dynamics; Genetics; Ecology; Pathogen; Evolutionary biology; Bacterial genome size; Evolutionary ecology; Zoology; Gene; Population; Host (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":[0.0003748315,0.0001608348,0.0002412592,0.0005203211,0.0002042084,0.0005422599,0.0002223642,0.0004144631,0.0008965403],"category_scores_gemma":[0.00122548,0.0001404993,0.0001414037,0.0003262737,0.0002792754,0.0003691474,0.0002864187,0.0004200641,0.0001524315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004324,"about_ca_system_score_gemma":0.0001244859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007289043,"about_ca_topic_score_gemma":0.0006857001,"domain_scores_codex":[0.9998431,0.00004010381,0.00001130397,0.00004543291,0.00003186615,0.00002819605],"domain_scores_gemma":[0.9993263,0.0002628834,0.0002212025,0.00004334816,0.00008274314,0.00006343966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002389054,0.0001097333,0.1584699,0.00005588007,0.00005154894,0.0001489067,0.000198984,0.005064428,0.8265885,0.0006838527,0.0001539614,0.008235425],"study_design_scores_gemma":[0.00002236009,0.0005275778,0.8269384,0.00001819403,0.00004818224,0.0008800264,0.0006173811,0.06705777,0.1004429,0.002326625,0.001070936,0.00004954998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987078,0.0000572045,0.0009294434,0.00002457472,0.000002193174,0.000002862312,0.00004999616,0.000009935013,0.0002161116],"genre_scores_gemma":[0.9990712,0.00002969397,0.000724246,0.00001480075,0.000001872535,0.000003569556,0.00005229336,0.000005205271,0.0000971109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008965403,"threshold_uncertainty_score":0.002999246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011443239713625,"score_gpt":0.2677331182592209,"score_spread":0.2476186858620847,"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."}}