{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004024529,0.0001204248,0.0001204996,0.00008442637,0.0000418766,0.00001159391,0.0003191045,0.0004957197,0.00003464507],"category_scores_gemma":[0.0001573622,0.0001052428,0.00009853514,0.0002572421,0.00008626813,0.000001103583,0.0002457483,0.0005368849,0.0002182394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007352256,"about_ca_system_score_gemma":0.00006580955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009402695,"about_ca_topic_score_gemma":0.00001261277,"domain_scores_codex":[0.9989443,0.00009179443,0.0001589358,0.0003050016,0.000201949,0.0002979933],"domain_scores_gemma":[0.9992675,0.00001267264,0.00003523969,0.0004446808,0.0001200131,0.0001198715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001995521,0.00005363929,0.03606172,0.0001004069,0.000157991,0.00002972473,0.0008541654,0.0004325559,0.8423637,0.0009340376,0.09198551,0.02682696],"study_design_scores_gemma":[0.0008632745,0.000667061,0.278654,0.0000635002,0.00002104821,0.00002315763,0.0006817622,0.0001206608,0.2612403,0.0005108567,0.4566855,0.0004688352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886622,0.0005697,0.00006182249,0.001150763,0.0001966826,0.000157572,0.00003767637,0.00001935911,0.009144191],"genre_scores_gemma":[0.9925838,0.0001750758,0.0004360855,0.001120088,0.0002460547,0.000005440907,0.0001005586,0.00003529285,0.005297631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5811234,"threshold_uncertainty_score":0.4291676,"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."}}