{"id":"W4390694263","doi":"10.1038/s41586-023-06862-3","title":"100 ancient genomes show repeated population turnovers in Neolithic Denmark","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; H. Lundbeck A/S; National Institute of General Medical Sciences; Novo Nordisk; Lundbeckfonden; National Institute on Aging; Aarhus Universitets Forskningsfond; National Institutes of Health; Queen's University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Social Sciences and Humanities Research Council of Canada; National Research Foundation; Danmarks Grundforskningsfond; Novo Nordisk Fonden; Queen's University Belfast; Riksbankens Jubileumsfond; Aarhus Universitet; European Commission; Wellcome Trust; Villum Fonden; National Science Foundation","keywords":"Genome; Population; Ancient DNA; Biology; Geography; Evolutionary biology; Genetics; Demography; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004023632,0.0002095208,0.0003735865,0.001111725,0.000667875,0.001165125,0.0002550478,0.0004847097,0.0008237443],"category_scores_gemma":[0.0005942644,0.0002779591,0.0003886555,0.001735791,0.0003957521,0.0002423544,0.0007558701,0.0003289491,0.0003758725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887337,"about_ca_system_score_gemma":0.0002131868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003330668,"about_ca_topic_score_gemma":0.008618554,"domain_scores_codex":[0.9995851,0.00002966722,0.00003389112,0.0002103197,0.00008759238,0.00005344752],"domain_scores_gemma":[0.9995705,0.0001218594,0.0001373863,0.00006523381,0.00005476509,0.000050128],"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":[0.001385239,0.00008690868,0.4632382,0.00096917,0.001986423,0.001272924,0.006769191,0.004883915,0.4658658,0.001949462,0.002058331,0.04953431],"study_design_scores_gemma":[0.00001345338,0.00003707274,0.9859684,0.00004318729,0.0001686571,0.0004244738,0.0006363692,0.001060081,0.003668653,0.0002837605,0.007672352,0.00002363869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931831,0.001282948,0.00079528,0.0000228376,0.000007150405,0.000004088887,0.004036379,0.00003764144,0.0006306421],"genre_scores_gemma":[0.9887998,0.0006108651,0.001678463,0.00004421595,0.000004094581,0.000009922706,0.008264394,0.00003057304,0.0005576527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003330668,"threshold_uncertainty_score":0.006622553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007648992082148382,"score_gpt":0.2906375703367277,"score_spread":0.2829885782545793,"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."}}