{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001293536,0.00009807506,0.0001658079,0.00009868604,0.0001683866,0.00001812683,0.0007133854,0.0000841083,0.00000156762],"category_scores_gemma":[0.00005340453,0.00005493194,0.00005157933,0.0007601678,0.002565284,0.00001970402,0.0001580722,0.0001694852,1.99449e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003679072,"about_ca_system_score_gemma":0.00002013133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003444235,"about_ca_topic_score_gemma":0.00003445222,"domain_scores_codex":[0.99874,0.0000287946,0.0003208457,0.0002587603,0.0004716263,0.0001799735],"domain_scores_gemma":[0.9994684,0.00003136815,0.0003486324,0.00004494442,0.00007851709,0.0000281553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005605735,0.00002383164,0.4746715,0.00007828695,0.00001394462,9.066323e-9,0.001634593,0.00002144655,0.505676,0.001852428,0.00008298048,0.01588894],"study_design_scores_gemma":[0.0001707941,0.0003325078,0.7255313,0.00003672764,0.00001000106,0.000002687608,0.001631238,0.0001527041,0.2712114,0.0007839475,0.0000644947,0.00007219281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973975,0.0004295483,0.000003656211,0.000308334,0.00004678033,0.0002037073,0.000004793669,0.000001898915,0.00160374],"genre_scores_gemma":[0.9994707,0.00008567036,0.0001840477,0.00007302957,0.0001475878,0.000001408344,9.337967e-7,0.000003381344,0.0000332618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508597,"threshold_uncertainty_score":0.9451897,"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."}}