{"id":"W1988875256","doi":"10.1007/s00414-013-0948-y","title":"Genetic polymorphism of 17 Y chromosomal STRs in Kazakh and Uighur populations from Xinjiang, China","year":2014,"lang":"en","type":"article","venue":"International Journal of Legal Medicine","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Heart and Stroke Foundation of Canada","keywords":"Kazakh; Haplotype; China; Y-STR; Genetics; Ethnic group; Traditional medicine; Demography; Genetic diversity; Polymorphism (computer science); Biology; Geography; Medicine; Genotype; Population; Environmental health; Gene; Political science; Law; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002108545,0.00008540189,0.0001789047,0.0001455604,0.00001439089,0.000008682933,0.0002368356,0.00006243635,0.00009309901],"category_scores_gemma":[0.0002488647,0.00006669216,0.00004538599,0.00004933919,0.0001776673,0.000007209184,0.00006244946,0.0001247917,8.367884e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001347908,"about_ca_system_score_gemma":0.00006736632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006108324,"about_ca_topic_score_gemma":0.0001172001,"domain_scores_codex":[0.9989207,0.00005455424,0.00041674,0.0001203849,0.0003830309,0.0001046217],"domain_scores_gemma":[0.9994006,0.00002385924,0.0001981874,0.00011011,0.0001824384,0.00008476053],"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":[0.0007631396,0.0002211657,0.2241461,0.00002290328,0.0003733107,0.0001536019,0.0006045375,0.0007134855,0.7007952,0.002085041,0.01263369,0.05748785],"study_design_scores_gemma":[0.002629606,0.001056661,0.9714743,0.0002079805,0.00002600262,0.0002464148,0.00007367062,0.0005508799,0.01207093,0.001878537,0.009678937,0.0001060237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913483,0.002119392,0.001788848,0.003157465,0.0004549266,0.00004343265,0.00001108456,9.417312e-7,0.001075574],"genre_scores_gemma":[0.9967911,0.0002212371,0.001443097,0.0001269465,0.001124863,8.63789e-7,0.00002117526,0.000008100619,0.0002626588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7473283,"threshold_uncertainty_score":0.2719627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067567067428174,"score_gpt":0.2980256898893049,"score_spread":0.2873500192150232,"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."}}