{"id":"W2128371599","doi":"10.1016/j.ajhg.2013.06.020","title":"RFMix: A Discriminative Modeling Approach for Rapid and Robust Local-Ancestry Inference","year":2013,"lang":"en","type":"article","venue":"The American Journal of Human Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1023,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"U.S. National Library of Medicine; National Human Genome Research Institute","keywords":"Discriminative model; International HapMap Project; Genetic genealogy; Inference; Conditional random field; Random forest; 1000 Genomes Project; Parameterized complexity; Ancestry-informative marker; Biology; Artificial intelligence; Computer science; Evolutionary biology; Machine learning; Genetics; Genome; Human genome; Allele; Allele frequency; Algorithm; Demography; Population; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04188053889035954,"score_gpt":0.2855342987138907,"score_spread":0.2436537598235312,"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."}}