{"id":"W2886392109","doi":"10.1111/evo.13553","title":"Mutation accumulation in selfing populations under fluctuating selection","year":2018,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selfing; Biology; Selection (genetic algorithm); Background selection; Fixation (population genetics); Evolutionary biology; Negative selection; Genetics; Frequency-dependent selection; Mutation rate; Genome; Gene; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001969935,0.00008962194,0.00005947177,0.0001148498,0.0001569934,0.00001792755,0.00004929306,0.0001268081,0.00002704299],"category_scores_gemma":[0.000105942,0.0001053637,0.00003145933,0.0002879752,0.00003901031,0.00001326534,0.00002521659,0.00006085509,0.00003221759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250325,"about_ca_system_score_gemma":0.0000588028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001241734,"about_ca_topic_score_gemma":0.002436751,"domain_scores_codex":[0.9991993,0.00006958647,0.0002102668,0.0002384427,0.0001124258,0.0001700126],"domain_scores_gemma":[0.9996322,0.000005106134,0.0000785268,0.0001170187,0.0001355277,0.0000316061],"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":[0.0000940687,0.0001093744,0.1700303,0.00001340676,0.00002158587,4.114081e-7,0.0003185739,0.1746051,0.6365866,0.01289152,0.0009021789,0.004426899],"study_design_scores_gemma":[0.0004059422,0.0001109629,0.7010705,0.00001064245,0.000007983681,0.00001185373,0.0001176063,0.2916273,0.002644149,0.00353763,0.000309055,0.0001463801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6620695,0.00004281144,0.3369379,0.00007562355,0.0001667526,0.0001050301,0.000001501238,0.00002301804,0.000577904],"genre_scores_gemma":[0.9924099,0.000003675313,0.006638927,0.00007981936,0.0003711672,0.0000113327,0.0002175307,0.00001374162,0.0002538901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6339424,"threshold_uncertainty_score":0.4296606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919797959119119,"score_gpt":0.3314311051689343,"score_spread":0.3022331255777431,"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."}}