{"id":"W2788552231","doi":"10.3389/fgene.2018.00051","title":"Genomic Characterisation of the Indigenous Irish Kerry Cattle Breed","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Food, Agriculture and Fisheries, Biotechnology; Institute of Genetics; Ciência sem Fronteiras; Seventh Framework Programme; Russian Science Foundation; Instituto Colombiano de Bienestar Familiar; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Trinity College Dublin; Science Foundation Ireland; Department of Agriculture, Food and the Marine, Ireland; European Commission","keywords":"Breed; Biology; Population; Genetic diversity; Runs of Homozygosity; Inbreeding; Gene flow; Shorthorn; Evolutionary biology; Geography; Genetics; Genetic variation; Single-nucleotide polymorphism; Demography; Gene; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001084927,0.0001236886,0.0001305187,0.00004119767,0.00006724172,0.000008463985,0.000380545,0.0001589125,0.00001236132],"category_scores_gemma":[0.00002295659,0.000108378,0.00005969968,0.0001120453,0.0002838461,0.000001498238,0.0001241525,0.00008141017,0.000004878602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002065949,"about_ca_system_score_gemma":0.000122168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001763674,"about_ca_topic_score_gemma":0.00002794247,"domain_scores_codex":[0.9991225,0.00006117765,0.0002482956,0.0002341635,0.0001143719,0.0002195152],"domain_scores_gemma":[0.9993072,0.000003563582,0.0001239995,0.000458903,0.00006701208,0.00003936133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082603,0.0001250111,0.7720957,0.00002993452,0.00007454952,1.618024e-7,0.002151912,0.0005546013,0.1916477,0.00003317119,0.01494136,0.01823761],"study_design_scores_gemma":[0.0003188904,0.0002537209,0.9109618,0.000009013961,0.00001636113,0.000003451102,0.0001352864,0.00002977958,0.07799663,0.0005321825,0.009609393,0.0001334991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862854,0.001129549,0.009995732,0.00004287413,0.001491022,0.0002667049,0.00002500203,0.000004381184,0.0007593534],"genre_scores_gemma":[0.9696839,0.00009781796,0.02910147,0.0001526463,0.000402129,0.000009925567,0.00002358145,0.00002185349,0.0005066736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1388661,"threshold_uncertainty_score":0.4419527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00784921323623254,"score_gpt":0.2168391141584837,"score_spread":0.2089899009222512,"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."}}