{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005599927,0.0002598897,0.0002986846,0.0003494807,0.0003017396,0.0006274747,0.0003531686,0.0005963547,0.001811004],"category_scores_gemma":[0.002024446,0.0002545471,0.0004992851,0.0001997432,0.0006578495,0.0009091054,0.0007877403,0.0005485917,0.0003513286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004246888,"about_ca_system_score_gemma":0.0002129044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006260074,"about_ca_topic_score_gemma":0.001117668,"domain_scores_codex":[0.9998413,0.00003868784,0.000009958609,0.00005405422,0.00002606414,0.00002980015],"domain_scores_gemma":[0.9993929,0.0002710764,0.0001414029,0.0001071673,0.00003881603,0.0000486818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003386423,0.000154638,0.1166679,0.0002965791,0.0002846597,0.0006695514,0.0005879882,0.08596276,0.6945545,0.04744434,0.0005711573,0.05246733],"study_design_scores_gemma":[0.0001611212,0.001113157,0.3159227,0.00006632813,0.0004207726,0.002293363,0.0007872267,0.4396491,0.14943,0.07584723,0.01413838,0.0001706651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851711,0.0002054391,0.01229947,0.000261019,0.00001632626,0.000006343521,0.00002599329,0.00008873986,0.001925549],"genre_scores_gemma":[0.9966758,0.0001547496,0.002367205,0.00005021355,0.00000834359,0.000005429086,0.00002284691,0.00001585732,0.0006996201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001811004,"threshold_uncertainty_score":0.006058395,"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."}}