{"id":"W3010528608","doi":"10.1111/eva.12946","title":"Sources of epigenetic variation and their applications in natural populations","year":2020,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biology; Epigenetics; Variation (astronomy); Phenotypic plasticity; Context (archaeology); Microbiome; Evolutionary biology; Holobiont; Phenotype; Ecology; Computational biology; Genetics; Gene; Symbiosis; Bacteria","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":[0.00007060588,0.0001061623,0.0001073354,0.00005874461,0.000108322,0.000007805814,0.0001153221,0.00008011504,0.000007493238],"category_scores_gemma":[0.00003261352,0.0001060523,0.00004241677,0.0002947255,0.00007532253,0.000007057643,0.00006304112,0.00006846659,0.000003412359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001143505,"about_ca_system_score_gemma":0.00004528587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002993814,"about_ca_topic_score_gemma":0.00002682318,"domain_scores_codex":[0.9992224,0.00004265108,0.0002689,0.0002836114,0.000072589,0.0001098466],"domain_scores_gemma":[0.9995107,0.00002693208,0.0001082375,0.0002060322,0.00008249165,0.00006563069],"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":[0.00003673235,0.0002508045,0.1485237,0.00007325452,0.00004485155,1.144123e-7,0.0009474213,0.005693959,0.8151075,0.01997934,0.0001194471,0.009222896],"study_design_scores_gemma":[0.000424044,0.0001091742,0.9233074,0.000007437922,0.00002306721,0.00000198921,0.000251944,0.006098787,0.03297928,0.01120543,0.02531282,0.0002786432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.619743,0.0117041,0.366119,0.0009431407,0.00002661103,0.0009509601,0.0001030865,0.00002389085,0.0003861925],"genre_scores_gemma":[0.9939005,0.0002556934,0.004852701,0.00005515073,0.0001352616,0.0003087913,0.0004431458,0.00001255209,0.0000362394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7821282,"threshold_uncertainty_score":0.4324688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322911782729128,"score_gpt":0.2470322233846242,"score_spread":0.233803105557333,"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."}}