{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000507676,0.0002617053,0.0003860487,0.001640148,0.0006145569,0.000538012,0.0002973118,0.0002934786,0.0006657702],"category_scores_gemma":[0.0007350273,0.0001828602,0.0003212475,0.0008398516,0.0004476063,0.0002378828,0.0005085137,0.0002350345,0.0001081138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223652,"about_ca_system_score_gemma":0.000158042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005189905,"about_ca_topic_score_gemma":0.01093755,"domain_scores_codex":[0.9997758,0.00005126839,0.00001177044,0.0001047914,0.00002984948,0.00002648217],"domain_scores_gemma":[0.9997866,0.00005232981,0.00005431505,0.00004041537,0.00003940091,0.00002686012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000385612,0.00008114811,0.8027757,0.0001038482,0.0005954407,0.0005093298,0.005630178,0.001628149,0.1467009,0.001300241,0.0001092498,0.04018006],"study_design_scores_gemma":[0.00001560369,0.0001573671,0.9937117,0.00002007503,0.0001780664,0.0004603582,0.0007109898,0.002639691,0.0009431863,0.0003246165,0.0008217352,0.00001656391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999281,0.0001000691,0.0003180078,0.000008833195,6.184878e-7,0.000004534762,0.00003419848,0.000006628003,0.0002461011],"genre_scores_gemma":[0.9991263,0.00006836045,0.0006146137,0.000005809524,0.000001333416,0.000009485783,0.0001066984,0.000002657193,0.00006481032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005189905,"threshold_uncertainty_score":0.01031935,"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."}}