{"id":"W1608099874","doi":"10.1002/ajhb.22362","title":"Phenotype‐environment mismatch due to epigenetic inheritance? Programming the offspring's epigenome and the consequences of migration","year":2013,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epigenome; Inheritance (genetic algorithm); Offspring; Epigenetics; Demography; Urbanization; Population; Phenotype; Rural area; Biology; Geography; Medicine; Genetics; Ecology; Pregnancy; DNA methylation; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004802987,0.0001048631,0.000243003,0.00003649754,0.0001009101,0.00001862811,0.0002161554,0.00004046681,0.00001599734],"category_scores_gemma":[0.00005783926,0.00005872651,0.00006890739,0.0000630802,0.001151129,0.000003378811,0.00006114099,0.00008281648,0.000002370195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008837422,"about_ca_system_score_gemma":0.00002941479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002577727,"about_ca_topic_score_gemma":0.00005415951,"domain_scores_codex":[0.9989806,0.00025289,0.000394457,0.0001384022,0.00007992027,0.0001537469],"domain_scores_gemma":[0.9991215,0.00006130133,0.0004682491,0.000192222,0.00009962394,0.00005714069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005708313,0.0000243954,0.01066088,0.000004267754,0.0000711282,6.117292e-7,0.0005921781,0.00007285146,0.9411986,0.0003502652,0.00001433033,0.04695337],"study_design_scores_gemma":[0.002616333,0.01254333,0.2900307,0.00006863229,0.0002193206,0.00009642348,0.005744738,0.00004621498,0.6370553,0.0182823,0.03259336,0.0007033275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991092,0.003703586,0.002878145,0.001979294,0.00004962488,0.000252048,0.00000164789,0.000001226701,0.00004239366],"genre_scores_gemma":[0.9966074,0.0007562123,0.002305537,0.0001664115,0.0001125418,0.00001946809,0.000003385347,0.000008837931,0.00002017338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3041434,"threshold_uncertainty_score":0.4241384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009331051064512147,"score_gpt":0.2461737738916144,"score_spread":0.2368427228271023,"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."}}