{"id":"W4251399930","doi":"10.1134/s1022795414110143","title":"Maternal and paternal diversity in Xinjiang Kazakh population from China","year":2014,"lang":"en","type":"article","venue":"Russian Journal of Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Lawson Health Research Institute","funders":"Heart and Stroke Foundation of Canada","keywords":"Kazakh; Biology; Genetic diversity; Haplotype; Population; China; Genetic variation; Gene flow; Genetics; Mitochondrial DNA; Evolutionary biology; Gene; Geography; Genotype; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003915456,0.0002166357,0.0002325651,0.0006452033,0.0007309852,0.0004564902,0.0002412965,0.0001114066,0.0008930617],"category_scores_gemma":[0.0005339508,0.0001410199,0.000160101,0.001252817,0.0003681588,0.000140353,0.0002877045,0.0001298242,0.0001083379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044946,"about_ca_system_score_gemma":0.0003983982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604206,"about_ca_topic_score_gemma":0.02109798,"domain_scores_codex":[0.9996736,0.00006724278,0.00004071167,0.00009528058,0.00006316596,0.00005991737],"domain_scores_gemma":[0.9997262,0.0000474885,0.00009110364,0.00003245704,0.00005379217,0.00004895069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001819462,0.00002764672,0.9749476,0.00003089762,0.0001010844,0.0005032026,0.003681782,0.0001924783,0.006633582,0.0003253164,0.0001111413,0.01326328],"study_design_scores_gemma":[0.00000691984,0.00003890656,0.9980887,0.00000648371,0.00002272765,0.0002573857,0.0005599394,0.00018234,0.0003249961,0.00007300793,0.0004346076,0.000003886675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996513,0.00006247823,0.00005788274,0.0000113025,0.00000109681,0.000001004342,0.00003573399,0.00000161203,0.0001775365],"genre_scores_gemma":[0.999514,0.00006898793,0.00009073058,0.00001088346,0.000002635157,0.000001698481,0.000107366,9.455349e-7,0.0002026864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01604206,"threshold_uncertainty_score":0.03189737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008548502836503621,"score_gpt":0.2416949125002842,"score_spread":0.2331464096637806,"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."}}