{"id":"W2104797721","doi":"10.1371/journal.pgen.1004023","title":"Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data","year":2013,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"National Institute on Minority Health and Health Disparities; National Center for Research Resources; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; Wellcome Trust; National Human Genome Research Institute; University of California, San Francisco; American Asthma Foundation; Biotechnology and Biological Sciences Research Council; Robert Wood Johnson Foundation; Sandler Foundation; National Institutes of Health; National Science Foundation","keywords":"Biology; Demographic history; Population; Evolutionary biology; Genetic genealogy; Population genetics; Native american; Genotyping; Genealogy; Ethnology; Genetic variation; Demography; Genetics; Genotype; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009159295,0.0001780258,0.0001844528,0.00004958233,0.0001363241,0.00009982077,0.0004409148,0.00009065458,0.00006858708],"category_scores_gemma":[0.0001458069,0.0001705433,0.00003078013,0.0001276427,0.0004882138,0.000008462198,0.0005832617,0.0001357386,0.00008854833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009290788,"about_ca_system_score_gemma":0.00008377135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001580397,"about_ca_topic_score_gemma":0.0001711729,"domain_scores_codex":[0.9985609,0.00007808946,0.0002450173,0.0005929171,0.0002023322,0.0003207351],"domain_scores_gemma":[0.9986268,0.00004251445,0.00009933732,0.0008925242,0.0001654224,0.0001733682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001033769,0.000045932,0.01502031,0.000009281477,0.0001571709,0.000001550982,0.0001838182,0.00002052478,0.9608511,0.000006764637,0.004093655,0.01959961],"study_design_scores_gemma":[0.002625592,0.002199497,0.09224177,0.00009491465,0.000310115,0.00008016272,0.008448144,0.06210735,0.5278606,0.003075771,0.298526,0.002430027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948525,0.002177237,0.0003931639,0.0008106649,0.0000539228,0.0003102987,0.0007238397,0.00001282521,0.000665558],"genre_scores_gemma":[0.9839106,0.0005263011,0.01164595,0.0002643393,0.0003842471,0.00003660727,0.00230659,0.00003723807,0.0008880878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4329904,"threshold_uncertainty_score":0.6954554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0377245989440799,"score_gpt":0.2842147733986887,"score_spread":0.2464901744546088,"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."}}