{"id":"W4400275772","doi":"10.1371/journal.pone.0305157","title":"Global and local ancestry estimation in a captive baboon colony","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Texas Biomedical Research Institute","keywords":"1000 Genomes Project; Imputation (statistics); Biology; Baboon; Evolutionary biology; Vervet monkey; Allele frequency; Estimation; Genetics; Allele; Computer science; Missing data; Ecology; Single-nucleotide polymorphism; Machine learning","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":[0.002367665,0.0003533923,0.0005288079,0.0007564868,0.0006438175,0.0007354611,0.0004152136,0.0003467747,0.001306776],"category_scores_gemma":[0.003364079,0.0002382319,0.0003399152,0.0009441269,0.0003738209,0.0002408058,0.0006597724,0.0003997097,0.0003345862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967919,"about_ca_system_score_gemma":0.000210675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007278231,"about_ca_topic_score_gemma":0.01230832,"domain_scores_codex":[0.9992824,0.000320577,0.00002673186,0.0002435797,0.00007385072,0.00005290366],"domain_scores_gemma":[0.9988149,0.0004276006,0.0001203482,0.0003011181,0.0002396391,0.00009627233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004970725,0.0001464518,0.8588468,0.00006633058,0.0006068509,0.001991476,0.004655491,0.01314297,0.04434624,0.0007125302,0.0009424168,0.07404533],"study_design_scores_gemma":[0.00003351155,0.0005069168,0.9318954,0.00007025859,0.0003678667,0.001655038,0.001767199,0.05090026,0.007052777,0.00118511,0.004509158,0.00005643725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903446,0.00005868548,0.008896884,0.00001632582,0.000002831533,0.00001144185,0.0002361259,0.00004745058,0.0003857457],"genre_scores_gemma":[0.9684684,0.00009319097,0.0292913,0.00003160992,0.000005934845,0.00004464819,0.001504492,0.00007778929,0.0004826129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007278231,"threshold_uncertainty_score":0.01447171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318355082230327,"score_gpt":0.2508285866849168,"score_spread":0.2276450358626135,"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."}}