{"id":"W2810697560","doi":"10.2478/prolas-2018-0025","title":"Population Genetics of Latvians in the Context of Admixture between North-Eastern European Ethnic Groups","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"Latvijas Universitate","keywords":"Gene pool; Haplogroup; Mitochondrial DNA; Biology; Genetics; Population; Slavic languages; Human mitochondrial DNA haplogroup; Context (archaeology); Population genetics; Evolutionary biology; Gene flow; Allele; Haplotype; Genetic variation; Gene; Genetic diversity; Demography; History","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":[0.0006728657,0.0002035022,0.0002724885,0.001177262,0.0002436753,0.0007781486,0.0001908321,0.0003199138,0.0006360991],"category_scores_gemma":[0.000433158,0.00007216015,0.0001765131,0.001453443,0.0003767607,0.0002227538,0.0002569993,0.0001508715,0.0001049177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197136,"about_ca_system_score_gemma":0.0002612997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889887,"about_ca_topic_score_gemma":0.004350095,"domain_scores_codex":[0.9997665,0.0001009261,0.00002445621,0.00005155051,0.00003714287,0.00001936373],"domain_scores_gemma":[0.9998398,0.00005822532,0.00005887645,0.000005285339,0.00002573154,0.000012053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003750027,0.00005640466,0.5095344,0.001796883,0.0009437229,0.004286677,0.005428268,0.000688974,0.01601202,0.003104102,0.001679423,0.456094],"study_design_scores_gemma":[0.00001562173,0.0001909602,0.9639208,0.0008340221,0.000390809,0.00374838,0.002582719,0.0003930207,0.0009481563,0.001524123,0.02542472,0.00002667476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6941634,0.2969909,0.001628958,0.001276691,0.00008517534,0.00001247708,0.0001719303,0.00002775172,0.005642631],"genre_scores_gemma":[0.9236548,0.07290648,0.001518079,0.0002575516,0.000124402,0.00001458475,0.0002724617,0.000006171245,0.001245446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001889887,"threshold_uncertainty_score":0.003757775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414022529672126,"score_gpt":0.3060690325189239,"score_spread":0.2719288072222026,"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."}}