{"id":"W4224995333","doi":"10.1111/evo.14494","title":"Epigenetic induction may speed up or slow down speciation with gene flow","year":2022,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Marsden Fund; Natural Sciences and Engineering Research Council of Canada; Royal Society Te Apārangi; Royal Society","keywords":"Biology; Genetic algorithm; Epigenetics; Ecological speciation; Gene flow; Evolutionary biology; Inheritance (genetic algorithm); Natural selection; Phenotypic plasticity; Adaptation (eye); Population; Epigenesis; Selection (genetic algorithm); Local adaptation; Genetics; Genetic variation; Gene; DNA methylation; Gene expression","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":[0.0002237963,0.0001653382,0.0001178568,0.00009348071,0.0003343362,0.0000198727,0.0001501024,0.00009906256,0.0003538578],"category_scores_gemma":[0.0000355034,0.0001532632,0.00006100825,0.0002934583,0.00005779437,0.00000672705,0.0001117406,0.0001451997,0.00003414197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110827,"about_ca_system_score_gemma":0.0001964195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005309278,"about_ca_topic_score_gemma":0.0001927438,"domain_scores_codex":[0.9986526,0.0001344661,0.0002168442,0.0004135147,0.0003165628,0.0002659621],"domain_scores_gemma":[0.9993402,0.000005047905,0.0001266142,0.0003523477,0.00009834167,0.00007744118],"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":[0.001751916,0.0003448806,0.01258903,0.00002829062,0.0001628587,0.00001074154,0.0002632024,0.2202648,0.7352204,0.0005650304,0.01983606,0.00896276],"study_design_scores_gemma":[0.008464243,0.006895898,0.4704833,0.00003032795,0.0002811715,0.00100305,0.001748293,0.1317167,0.07350006,0.001081431,0.3024754,0.00232013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294323,0.0004858902,0.06704326,0.0003867461,0.001056368,0.0004073365,0.00007081127,0.00005117413,0.001066051],"genre_scores_gemma":[0.9832925,0.00007350542,0.003274609,0.000138385,0.0005103776,0.00004115026,0.000848996,0.00003077692,0.01178965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6617204,"threshold_uncertainty_score":0.6249892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008790809776433765,"score_gpt":0.2264952071251289,"score_spread":0.2177043973486951,"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."}}