{"id":"W6901748203","doi":"10.60692/zbx72-1yg08","title":"Development of a Panel of Genome-Wide Ancestry Informative Markers to Study Admixture Throughout the Americas","year":2012,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ancestry-informative marker; Latin Americans; Population; Population stratification; Genetic genealogy; Ethnic group; Genetic admixture","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":[0.002532406,0.0004527349,0.0006108612,0.001410338,0.0004329265,0.0008005846,0.0005091968,0.0003427684,0.001886595],"category_scores_gemma":[0.003268106,0.0003565327,0.0004612008,0.001750687,0.0001616338,0.0002510288,0.0006320766,0.000673308,0.0006805786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092829,"about_ca_system_score_gemma":0.0007993188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006416592,"about_ca_topic_score_gemma":0.01035725,"domain_scores_codex":[0.9987382,0.0005383658,0.00009081099,0.0003209465,0.0002102888,0.0001013936],"domain_scores_gemma":[0.9989433,0.0002810283,0.0001505434,0.0002146308,0.0003324809,0.00007810702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001128058,0.0003049682,0.477504,0.0002547004,0.001214233,0.00041761,0.001204423,0.02254078,0.2594105,0.001982941,0.004631195,0.2294065],"study_design_scores_gemma":[0.0003757471,0.0006045077,0.8520827,0.0001552926,0.0007361902,0.0006651305,0.0003407258,0.04155149,0.06217704,0.002544869,0.03864521,0.0001211008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7699339,0.001212566,0.2040804,0.0004282416,0.00005097383,0.0006536712,0.01500339,0.00100444,0.007632492],"genre_scores_gemma":[0.6280945,0.0005392639,0.3509825,0.0003800178,0.00002893175,0.001058051,0.01580876,0.0002899911,0.002818006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006416592,"threshold_uncertainty_score":0.01339281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05845584256328945,"score_gpt":0.2966466361860078,"score_spread":0.2381907936227183,"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."}}