{"id":"W2158486577","doi":"10.1534/g3.112.001941","title":"Ancestry Informative Marker Set for Han Chinese Population","year":2012,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"National Institute of General Medical Sciences; National Natural Science Foundation of China; Shanghai Rising-Star Program; National Science Foundation","keywords":"Han chinese; Genetic genealogy; Population; Chinese population; Chinese people; Ancestry-informative marker; China; Genetics; Geography; Demography; Genealogy; Biology; Evolutionary biology; History; Allele frequency; Gene; Single-nucleotide polymorphism; Allele; Genotype; Sociology","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":[0.002193625,0.000588353,0.0007460315,0.0023301,0.001210183,0.0006476667,0.0009362257,0.000511478,0.004876984],"category_scores_gemma":[0.007085813,0.0002754797,0.001018057,0.002036291,0.0002263733,0.0002644493,0.0009971329,0.0007614419,0.00106247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002285,"about_ca_system_score_gemma":0.001806512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372199,"about_ca_topic_score_gemma":0.009214149,"domain_scores_codex":[0.9990227,0.0002827376,0.0001090362,0.0003080941,0.0001815839,0.00009572825],"domain_scores_gemma":[0.998754,0.0003343877,0.0001520668,0.0003573248,0.0003031683,0.00009910949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002613398,0.0005882988,0.5168138,0.0006302291,0.001798065,0.002492155,0.001390651,0.03120295,0.0466196,0.01531181,0.03959567,0.3409434],"study_design_scores_gemma":[0.0007199412,0.00045072,0.7496693,0.0002473214,0.002014559,0.001849691,0.0003532957,0.1138747,0.01837907,0.01944084,0.09276886,0.0002316955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6480345,0.001130766,0.2188706,0.0007783011,0.0001775078,0.001266184,0.1192481,0.001754779,0.008739221],"genre_scores_gemma":[0.6788424,0.0005408963,0.1857623,0.0004045874,0.00009704808,0.002873607,0.1260722,0.0001892728,0.005217702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372199,"threshold_uncertainty_score":0.02728426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559311856531799,"score_gpt":0.3123775221790598,"score_spread":0.2867844036137419,"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."}}