{"id":"W2189079163","doi":"10.1371/journal.pgen.1005602","title":"Genomic Insights into the Ancestry and Demographic History of South America","year":2015,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":282,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of General Medical Sciences; National Human Genome Research Institute; Canadian Institutes of Health Research; Canada Research Chairs; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Indigenous; Latin Americans; Genetic admixture; Population; Demographic history; Colonialism; Ethnology; Geography; Genetic genealogy; Ancestry-informative marker; Colonization; Biology; Peninsula; Native american; Demography; Ecology; Allele frequency; Archaeology; History; Genetics; Genetic variation; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002523243,0.0001540098,0.0001922033,0.0008276476,0.0003151435,0.0006886937,0.0001574325,0.0001965504,0.003022949],"category_scores_gemma":[0.001193637,0.0001185793,0.0003070023,0.001853423,0.0003507677,0.0003577544,0.0006098668,0.0003974262,0.000174036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239407,"about_ca_system_score_gemma":0.0003506439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01654829,"about_ca_topic_score_gemma":0.01777856,"domain_scores_codex":[0.9999079,0.00002686087,0.000004107307,0.00004072715,0.000009259216,0.00001120982],"domain_scores_gemma":[0.9997036,0.0001277692,0.00008488597,0.00003125921,0.00002755182,0.00002503502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001627254,0.00002336195,0.9036689,0.0001247127,0.0002399102,0.0008085627,0.00914021,0.009041389,0.02532911,0.007360232,0.0005759231,0.04352507],"study_design_scores_gemma":[0.000008493285,0.00002249603,0.9720635,0.00006493512,0.00008967253,0.0003328992,0.002315116,0.0095954,0.0006592783,0.006975235,0.007852111,0.00002079594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925668,0.000467946,0.003874508,0.0002209611,0.000002892289,0.000006662147,0.0009739393,0.00002562816,0.001860788],"genre_scores_gemma":[0.9950276,0.0005619191,0.003135009,0.00005478027,0.000005975273,0.00001345329,0.0007781529,0.00002498927,0.0003981522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01654829,"threshold_uncertainty_score":0.03290397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464439237046059,"score_gpt":0.2396065379342755,"score_spread":0.2049621455638149,"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."}}