{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002858771,0.0005189211,0.0006635367,0.001668302,0.0005546364,0.0009629825,0.000597244,0.0004802427,0.001795655],"category_scores_gemma":[0.003467544,0.00040292,0.0005174599,0.001995744,0.0002301839,0.0002921514,0.000771186,0.0007767536,0.0006826437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003481481,"about_ca_system_score_gemma":0.0008875499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005189093,"about_ca_topic_score_gemma":0.008978692,"domain_scores_codex":[0.9984955,0.0005955289,0.0001036895,0.0004060349,0.000261815,0.0001373835],"domain_scores_gemma":[0.9988567,0.0003142425,0.0001824332,0.0002308189,0.0003286175,0.00008717899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009735548,0.0003158327,0.4034967,0.0003021337,0.001304431,0.0005943691,0.001377111,0.02631002,0.3083088,0.00284844,0.004178471,0.2499901],"study_design_scores_gemma":[0.0004302368,0.000718103,0.7878479,0.0002475759,0.0009452081,0.001238792,0.00047217,0.0539459,0.09534182,0.004208913,0.05442351,0.0001799347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7590009,0.001505348,0.2179203,0.0004208202,0.000054488,0.0006023573,0.01238174,0.0009734222,0.007140604],"genre_scores_gemma":[0.6228629,0.0006188003,0.3602014,0.0003657695,0.00002786096,0.0008234093,0.01236935,0.0002813196,0.002449153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005189093,"threshold_uncertainty_score":0.01511884,"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."}}