{"id":"W2972181129","doi":"10.1126/science.aat7487","title":"The formation of human populations in South and Central Asia","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":778,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Winnipeg","funders":"Radcliffe Institute for Advanced Study, Harvard University; National Institute of General Medical Sciences; Russian Science Foundation; Harvard University; Burroughs Wellcome Fund; Paul G. Allen Family Foundation; John Templeton Foundation; Howard Hughes Medical Institute; National Institutes of Health; National Science Foundation","keywords":"Prehistory; Central asia; Geography; Globe; Bronze Age; Population; East Asia; Ancient history; Archaeology; History; Physical geography; Demography; Biology; China","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":[0.0001586591,0.00001699285,0.00001886113,0.00001658553,0.0000637437,0.00001172077,0.00008502902,0.00001141407,0.000001724115],"category_scores_gemma":[0.00002552915,0.00001144339,0.000005931895,0.00007951867,0.0002085696,0.000002968055,0.00004392098,0.00001659381,0.00000128334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002984848,"about_ca_system_score_gemma":0.00002934014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007982394,"about_ca_topic_score_gemma":0.00005150396,"domain_scores_codex":[0.9996884,0.000007625079,0.00005226871,0.00006727822,0.000085785,0.00009857226],"domain_scores_gemma":[0.9998434,0.000001678615,0.00001560267,0.00009844496,0.00002379218,0.0000170621],"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":[0.000005842302,0.000004852569,0.0861541,0.0000048032,4.73573e-7,4.851269e-8,0.0003633991,0.00005471913,0.9073862,0.002910785,0.00003603324,0.00307871],"study_design_scores_gemma":[0.0001536989,0.0001061866,0.8234949,0.00000495429,5.319638e-7,0.000001227577,0.0005631379,0.001023344,0.1732337,0.0008507216,0.0005317141,0.00003588993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986563,0.00009220446,0.00005892917,0.00005126787,0.00002778684,0.00006249656,7.708832e-7,4.441607e-7,0.001049852],"genre_scores_gemma":[0.9996738,0.000007908528,0.00008088286,0.000005670642,0.000006219861,8.964383e-7,0.000002148453,7.399631e-7,0.0002216605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7373408,"threshold_uncertainty_score":0.07684836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326232793981715,"score_gpt":0.3205725480812474,"score_spread":0.2973102201414303,"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."}}