{"id":"W2022905671","doi":"10.1371/journal.pgen.1002554","title":"Development of a Panel of Genome-Wide Ancestry Informative Markers to Study Admixture Throughout the Americas","year":2012,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Research Resources; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; Consejo Nacional de Ciencia y Tecnología; Banting and Best Diabetes Centre, University of Toronto; University of California, San Francisco; U.S. Public Health Service; National Institutes of Health; Instituto Nacional de Medicina Genómica; American Asthma Foundation; Ontario Innovation Trust; Instituto Mexicano del Seguro Social; Canadian Institutes of Health Research; Sandler Foundation","keywords":"Biology; Ancestry-informative marker; Population stratification; Genome-wide association study; Latin Americans; Population; Genetic genealogy; 1000 Genomes Project; Locus (genetics); Evolutionary biology; Genetic association; Population genetics; Genetics; Genotype; Demography; Allele frequency; Single-nucleotide polymorphism; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002817298,0.0001495912,0.0001946633,0.00003497604,0.00006907107,0.000006979083,0.0003505911,0.00007280125,0.00002307418],"category_scores_gemma":[0.00009568222,0.0001053346,0.0000525528,0.0001825234,0.000154898,0.000002993608,0.0003218858,0.00009103878,0.00001150185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001132752,"about_ca_system_score_gemma":0.0001472227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003057772,"about_ca_topic_score_gemma":0.000008553348,"domain_scores_codex":[0.9987161,0.00007175601,0.0003826867,0.0001560512,0.0003499714,0.0003234287],"domain_scores_gemma":[0.999081,0.00002809987,0.000144295,0.0004527688,0.0001724106,0.0001214866],"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":[0.0006281421,0.001741412,0.3818759,0.000220266,0.001557453,0.000001798628,0.05081916,0.0005874135,0.5266798,0.00001631621,0.001562212,0.03431009],"study_design_scores_gemma":[0.0004149421,0.0007826871,0.1930394,0.00001296449,0.00004760477,0.000002822935,0.01016806,0.00003675418,0.7840877,0.000007970099,0.01119108,0.0002079405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996684,0.001051053,0.0007413109,0.00004686956,0.00005009214,0.0005729094,0.00001634986,0.000003214277,0.0008341947],"genre_scores_gemma":[0.9892458,0.000101071,0.01023715,0.0001634086,0.00007311621,0.00004651399,0.00002261493,0.00001618813,0.00009418215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2574079,"threshold_uncertainty_score":0.429542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06146568859033315,"score_gpt":0.3385891820048421,"score_spread":0.277123493414509,"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."}}