{"id":"W4322739150","doi":"10.1038/s41586-023-05726-0","title":"Palaeogenomics of Upper Palaeolithic to Neolithic European hunter-gatherers","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"Russian Science Foundation; Eesti Teadusagentuur; California State University, Northridge; Agence Nationale de la Recherche; European Commission; European Regional Development Fund; Université de Bordeaux; Deutsche Forschungsgemeinschaft; Ministero della cultura","keywords":"Aurignacian; Magdalenian; Upper Paleolithic; Last Glacial Maximum; Mesolithic; Geography; Glacial period; Biological dispersal; Archaeology; Human migration; Western europe; Ethnology; Biology; Cave; Holocene; History; Paleontology; Demography; Population; European union","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000293807,0.0002532293,0.0003133636,0.001697106,0.0003680694,0.0007798872,0.0001757131,0.0004482874,0.00192477],"category_scores_gemma":[0.0004721831,0.000119709,0.0003566922,0.002464409,0.0002246264,0.0001809392,0.0005790479,0.0002836515,0.0003899115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427484,"about_ca_system_score_gemma":0.0001431255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003735422,"about_ca_topic_score_gemma":0.005661967,"domain_scores_codex":[0.9998133,0.00002380587,0.00001124459,0.00008915678,0.00002644324,0.00003614155],"domain_scores_gemma":[0.999706,0.00007701919,0.0001043805,0.00002388787,0.00004261431,0.00004601469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009463981,0.0001080168,0.7738459,0.00051592,0.0008134888,0.0009188594,0.004029106,0.000798754,0.1689315,0.0005544318,0.00267661,0.04586102],"study_design_scores_gemma":[0.000005559898,0.00003079228,0.9957254,0.00002849551,0.00004610608,0.000265514,0.0003988671,0.0002150399,0.0007508491,0.00008493342,0.002443947,0.000004513062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919881,0.001348347,0.0003604229,0.00008623309,0.000007523883,0.00000641389,0.005745478,0.00001638052,0.0004411455],"genre_scores_gemma":[0.9797174,0.001277459,0.001721624,0.0002022828,0.00002105975,0.00002871277,0.01547604,0.00003395753,0.001521415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003735422,"threshold_uncertainty_score":0.007427335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008840004075094035,"score_gpt":0.2832150299916403,"score_spread":0.2743750259165462,"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."}}