{"id":"W1800595138","doi":"10.1073/pnas.1504447112","title":"Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":278,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Medical Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Oswaldo Cruz; Ministério da Saúde; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Universidade Federal de Minas Gerais; Ministério da Educação; Ministério da Ciência, Tecnologia e Inovação; Financiadora de Estudos e Projetos; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Genetic genealogy; Biology; Context (archaeology); Diaspora; Genetic admixture; Bantu languages; Evolutionary biology; Population; Genotype; Population genetics; Genetic diversity; Latin Americans; Genetics; Gene flow; Geography; Demography; Genetic variation; Gene; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139234,0.0002949411,0.0003823333,0.0009302638,0.0005844975,0.0006799832,0.0003779473,0.0003231489,0.001508494],"category_scores_gemma":[0.004688518,0.0002452245,0.0003889187,0.001006639,0.0006723388,0.0002311791,0.0006693687,0.0004049697,0.0001212508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039415,"about_ca_system_score_gemma":0.000325482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190939,"about_ca_topic_score_gemma":0.02829981,"domain_scores_codex":[0.9993975,0.0002691228,0.00003363912,0.0001579102,0.00005937434,0.00008249153],"domain_scores_gemma":[0.9985936,0.0005051803,0.0004261955,0.0001974215,0.0001408327,0.0001367706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000308344,0.00003548761,0.9694206,0.00005743538,0.0002648781,0.0004208979,0.002465993,0.0003733599,0.01205269,0.0009894191,0.0001074226,0.0135033],"study_design_scores_gemma":[0.00000837015,0.00005976998,0.9948862,0.00003918244,0.0001344313,0.0005177156,0.0007641435,0.001575125,0.0004991716,0.0009094701,0.0005957146,0.00001063114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975011,0.0008268331,0.000634247,0.0001423552,0.000003020384,0.000004855229,0.0001152507,0.000008089954,0.0007643113],"genre_scores_gemma":[0.9994087,0.0002177347,0.0002285567,0.00001758519,0.000001591293,0.000002467474,0.00004300157,0.000004698098,0.00007572316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02190939,"threshold_uncertainty_score":0.04356372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218970134393825,"score_gpt":0.3292803281473322,"score_spread":0.2970906268033939,"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."}}