{"id":"W3155690697","doi":"10.3390/ani11041125","title":"Genetic Diversity and Population Genetic Structure of a Guzerá (Bos indicus) Meta-Population","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Centre for Addiction and Mental Health","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária","keywords":"Genetic diversity; Biology; Inbreeding; Herd; Population; Crossbreed; Fixation index; Microsatellite; Dual purpose; Veterinary medicine; Genetic structure; Zoology; Animal science; Genetics; Demography; Allele","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003776314,0.0001561602,0.0002491259,0.00005163428,0.0002451105,0.00001780851,0.000107821,0.0001998769,0.0002059695],"category_scores_gemma":[0.00004690594,0.0001548439,0.0001147022,0.0001242202,0.00003954617,0.000006171358,0.0004529118,0.00006130888,0.000001393138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000754737,"about_ca_system_score_gemma":0.00001972548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003351052,"about_ca_topic_score_gemma":0.0002572517,"domain_scores_codex":[0.9989782,0.00009458451,0.0002286504,0.0003493129,0.000199849,0.0001493832],"domain_scores_gemma":[0.9993788,0.00000892325,0.000159049,0.0002567753,0.0001241482,0.00007227674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003552993,0.0000141739,0.7878645,0.00004352634,0.0003264223,0.000005837263,0.0001702749,0.0005473488,0.2094771,0.0001196686,0.0001182022,0.001277464],"study_design_scores_gemma":[0.0003112639,0.00007909269,0.9724594,0.000004177244,0.0004480658,0.00003271131,0.00005077033,0.00002647515,0.02484152,0.001063774,0.0005235505,0.000159193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974518,0.001890744,0.0002434983,0.0000352596,0.00008259541,0.0001291507,0.0001088993,0.000008055616,0.00004998656],"genre_scores_gemma":[0.9948658,0.0001205433,0.004479854,0.000120798,0.00008386913,0.000001069076,0.0002179238,0.00001068606,0.00009940677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846355,"threshold_uncertainty_score":0.6314349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937529043866244,"score_gpt":0.2334471747852493,"score_spread":0.2140718843465869,"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."}}