{"id":"W4409120672","doi":"10.1093/molbev/msaf079","title":"Purging of Highly Deleterious Mutations Through an Extreme Bottleneck","year":2025,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Park","funders":"Research School of Biology, Australian National University; Zoos Victoria; Australian Government; Ecological Society of America; Ecological Society of Australia; Illumina; University of New South Wales; Holsworth Wildlife Research Endowment","keywords":"Biology; Inbreeding; Captivity; Runs of Homozygosity; Population bottleneck; Population; Genetics; Genetic load; Inbreeding depression; Fecundity; Effective population size; Evolutionary biology; Zoology; Genetic variation; Allele; Demography; Gene; Genotype","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":[0.0004003446,0.0003013716,0.0003650655,0.000430656,0.0004270345,0.0004664809,0.0003928555,0.0003309579,0.001025507],"category_scores_gemma":[0.0007526299,0.0001495472,0.0002317417,0.0002082112,0.0003542404,0.0002546568,0.0005562397,0.0004348945,0.0001222069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888988,"about_ca_system_score_gemma":0.0002172495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185317,"about_ca_topic_score_gemma":0.002436533,"domain_scores_codex":[0.9997445,0.00005281492,0.00002076432,0.00008037293,0.00005764111,0.00004387874],"domain_scores_gemma":[0.9992322,0.0001670648,0.0002635849,0.00009105507,0.0000751968,0.0001709394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002730436,0.0002251666,0.1785967,0.00008902975,0.0001294782,0.000890469,0.0004235969,0.0013323,0.7991437,0.0003472196,0.000228954,0.01832026],"study_design_scores_gemma":[0.00002769461,0.001510012,0.9002387,0.00003475425,0.00009470585,0.002612781,0.0005681264,0.007079041,0.08484547,0.0004517836,0.002490651,0.00004624358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984604,0.00007327364,0.000840866,0.00001005337,0.000003339869,0.000009593261,0.00006326404,0.00002271237,0.0005165258],"genre_scores_gemma":[0.9980637,0.00005080928,0.001266814,0.00006944912,0.000005198377,0.00003027992,0.0002138457,0.00001119045,0.0002886324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001185317,"threshold_uncertainty_score":0.003430605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007370509266200454,"score_gpt":0.2821421568872553,"score_spread":0.2747716476210548,"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."}}