{"id":"W2181283482","doi":"10.13110/humanbiology.87.2.0005","title":"Mongolians in the Genetic Landscape of Central Asia: Exploring the Genetic Relations among Mongolians and Other World Populations","year":2015,"lang":"en","type":"article","venue":"Human Biology","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Haplotype; Single-nucleotide polymorphism; Evolutionary biology; Biology; Central asia; Lineage (genetic); Population; Geography; Genetics; Demography; Gene; Allele; Genotype","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":[0.0002185121,0.0001227936,0.0001317869,0.00008748482,0.0001194188,0.00001765307,0.0002669173,0.00009046631,0.00002125566],"category_scores_gemma":[0.00005149121,0.00007824481,0.00004985049,0.0001763045,0.0004314253,0.000003322612,0.00009318119,0.0001423756,0.000004535185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008373756,"about_ca_system_score_gemma":0.00003962058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005328247,"about_ca_topic_score_gemma":0.005798926,"domain_scores_codex":[0.9988552,0.0002288337,0.0002570974,0.0002477833,0.00009813272,0.0003130045],"domain_scores_gemma":[0.9993891,0.00002625071,0.00006575962,0.0004027791,0.00004735709,0.0000687807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002237556,0.00004340669,0.9872274,0.00000563373,0.0000284808,0.000002645046,0.001254409,0.000804566,0.004381763,0.002778981,0.002680031,0.0007702503],"study_design_scores_gemma":[0.0003969095,0.0001845231,0.9880606,0.000007372085,0.00001658839,0.00001430743,0.0009448918,0.0002019374,0.0005439182,0.002588061,0.006934735,0.0001061889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944454,0.00102894,0.0001774942,0.000357223,0.00009546263,0.0002787442,0.00001462394,0.000005195407,0.003596958],"genre_scores_gemma":[0.9986249,0.00004673069,0.0002753959,0.00009159914,0.0002160489,0.00007451287,0.00003257749,0.00001558063,0.0006227133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005266102,"threshold_uncertainty_score":0.3235937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08736263230721052,"score_gpt":0.3137735129528376,"score_spread":0.226410880645627,"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."}}