{"id":"W2949385499","doi":"10.1038/nature25778","title":"The genomic history of southeastern Europe","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":736,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; Howard Hughes Medical Institute","keywords":"Cline (biology); Geography; Steppe; Ancient DNA; Population; Bronze Age; Indigenous; Domestication; Prehistory; Archaeology; Ethnology; Ecology; Demography; Biology; History","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":[0.00081336,0.0001714213,0.0002061453,0.001719368,0.0008789427,0.001388582,0.0002516886,0.0004294915,0.002994591],"category_scores_gemma":[0.001338937,0.0000992354,0.0001407186,0.003303292,0.001252444,0.0007340459,0.000802095,0.0004486003,0.0001806388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008981366,"about_ca_system_score_gemma":0.0008825425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024402,"about_ca_topic_score_gemma":0.02824239,"domain_scores_codex":[0.9997229,0.00009342822,0.00001860174,0.0000871341,0.00003289879,0.00004506396],"domain_scores_gemma":[0.9994035,0.000168407,0.0001469326,0.00006302611,0.0001468298,0.00007138797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006389496,0.0001254402,0.4422544,0.0003535146,0.0002616445,0.003590503,0.03200784,0.002173584,0.01823391,0.1047671,0.003422472,0.3921707],"study_design_scores_gemma":[0.000007281144,0.00005723967,0.9060932,0.0004292272,0.00006730173,0.001162449,0.004257478,0.0002438864,0.00117116,0.01026582,0.07622846,0.00001645027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558316,0.01206302,0.001694832,0.002899918,0.00006957265,0.00001008918,0.0007896269,0.00001597868,0.02662525],"genre_scores_gemma":[0.9893997,0.005346167,0.001046083,0.000425113,0.00005761053,0.000006337131,0.0005670587,0.000009942248,0.003141901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02024402,"threshold_uncertainty_score":0.04025239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00801986138086287,"score_gpt":0.2528476439519314,"score_spread":0.2448277825710685,"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."}}