{"id":"W4391375563","doi":"10.7554/elife.79714","title":"Stable population structure in Europe since the Iron Age, despite high mobility","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"Austrian Science Fund; National Human Genome Research Institute; Howard Hughes Medical Institute; National Institutes of Health; National Science Foundation","keywords":"Biological dispersal; Population; Demographic history; Geography; Prehistory; Ancient DNA; Period (music); Human migration; Economic geography; Panmixia; Genetic structure; Demography; Evolutionary biology; Biology; Archaeology; Genetic variation","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":[0.0002595155,0.00007497732,0.00006890039,0.00002533624,0.00006431506,0.00002197332,0.0001515059,0.00006948297,0.00002125574],"category_scores_gemma":[0.0001571758,0.00005303536,0.00001975257,0.0003045248,0.00006339615,0.000002010149,0.0001265875,0.00009504286,0.00002785794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009585121,"about_ca_system_score_gemma":0.00003420372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003242408,"about_ca_topic_score_gemma":0.0007126387,"domain_scores_codex":[0.9991739,0.00009035728,0.0001203395,0.0002239234,0.000179835,0.0002115847],"domain_scores_gemma":[0.999535,0.00001296104,0.00002373467,0.000333485,0.00005947051,0.00003529776],"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":[0.0002446815,0.0000856056,0.2185424,0.00008316643,0.00003554714,0.0000464956,0.0002918969,0.01624183,0.7082528,0.00119014,0.03907528,0.01591009],"study_design_scores_gemma":[0.0002375612,0.00008445129,0.9290927,0.000005576827,0.000002569161,0.000001704089,0.00003536619,0.0003102282,0.04033225,0.0002607564,0.02953703,0.00009981429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988727,0.000191447,0.00003255092,0.0003886825,0.00009780962,0.0001600023,0.00001922846,0.00001126759,0.0002263261],"genre_scores_gemma":[0.9974893,0.0001350465,0.0001144611,0.0001708991,0.0001243353,0.000007564087,0.0002855647,0.00001153977,0.001661277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7105502,"threshold_uncertainty_score":0.2162719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134971985219755,"score_gpt":0.2827617963805021,"score_spread":0.2692645978585266,"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."}}