{"id":"W3001897206","doi":"10.1534/g3.119.400919","title":"Selective Sweeps Under Dominance and Inbreeding","year":2020,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Biology; Inbreeding; Dominance (genetics); Evolutionary biology; Inbreeding depression; Genetics; Demography; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004911995,0.0001940135,0.0001619142,0.00003019348,0.0001438217,0.00003995784,0.0001858616,0.0001677478,0.00002936272],"category_scores_gemma":[0.00000522757,0.0002080152,0.00005913027,0.0001399256,0.00008759831,0.000003345479,0.000243989,0.00008346407,0.00001671298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008360516,"about_ca_system_score_gemma":0.00004921106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000331568,"about_ca_topic_score_gemma":0.000009814451,"domain_scores_codex":[0.9989686,0.00003598627,0.0001711097,0.0004404963,0.0001344427,0.0002493835],"domain_scores_gemma":[0.9994527,0.000006786795,0.00008106067,0.0001931105,0.0000906553,0.0001757625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001231612,0.00001669317,0.04931414,0.00005871485,0.0001464339,0.000003429793,0.0009401049,0.006165353,0.5253547,0.0002442635,0.00197562,0.4156574],"study_design_scores_gemma":[0.00157749,0.0008877216,0.03724977,0.000009232221,0.0001092317,0.00003428421,0.001008605,0.0007806621,0.2021417,0.0005953399,0.7547354,0.0008705777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8196714,0.1730626,0.004911138,0.0008057133,0.0002020292,0.0002499183,0.00005197152,0.00002493702,0.001020299],"genre_scores_gemma":[0.9675956,0.02561903,0.00440836,0.001577041,0.0004458113,0.000004618423,0.00005817108,0.00002401875,0.0002672925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7527598,"threshold_uncertainty_score":0.8482613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010695672323489,"score_gpt":0.2308192596806443,"score_spread":0.2107123029574094,"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."}}