{"id":"W2588492423","doi":"10.1038/srep42782","title":"Genetic analysis of 19 X chromosome STR loci for forensic purposes in four Chinese ethnic groups","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"Ministry of Public Security of the People's Republic of China; Natural Science Foundation of Guangdong Province","keywords":"Genetics; Microsatellite; Haplotype; Linkage disequilibrium; Biology; Ethnic group; Allele; Allele frequency; Y-STR; Forensic science; Population; Demography; Gene","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":[0.001335024,0.0004185898,0.000298758,0.001662723,0.0006355845,0.0003666834,0.0002892976,0.0002740374,0.0005954513],"category_scores_gemma":[0.001238821,0.0001621112,0.0002612262,0.001346349,0.0004268853,0.0001466177,0.0003994154,0.0002154472,0.0001081339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691628,"about_ca_system_score_gemma":0.0004728526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004741407,"about_ca_topic_score_gemma":0.006478075,"domain_scores_codex":[0.9994406,0.0001373088,0.00005444492,0.000119782,0.0001703993,0.00007748794],"domain_scores_gemma":[0.9995883,0.0001014319,0.0001134423,0.00004236593,0.0000811987,0.00007331914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005894626,0.0001559255,0.7602603,0.00009144026,0.0002615274,0.001365465,0.003238466,0.0004419642,0.1654357,0.0003315198,0.0001166507,0.06771155],"study_design_scores_gemma":[0.00002680698,0.0002848002,0.9875371,0.00001221875,0.0001271477,0.001232295,0.0005600033,0.001183824,0.008179578,0.000166161,0.0006720751,0.00001803328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992047,0.00009451369,0.000428539,0.0000119717,0.000001765517,0.00001515902,0.0000296994,0.000002442376,0.000211175],"genre_scores_gemma":[0.997649,0.0001081511,0.001783127,0.00001634949,0.000004441712,0.00001998001,0.000117613,0.000001892502,0.0002995087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004741407,"threshold_uncertainty_score":0.009427607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295262071969284,"score_gpt":0.3348921641523714,"score_spread":0.3053659569554431,"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."}}