{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002877983,0.0001185024,0.0002370137,0.0008956502,0.0002344206,0.0005989561,0.0002242117,0.0001813989,0.001088589],"category_scores_gemma":[0.0004612482,0.00009017732,0.0002160602,0.0006493095,0.00031393,0.0001299936,0.00046035,0.0003166255,0.0002598525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003027245,"about_ca_system_score_gemma":0.0001971435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007293243,"about_ca_topic_score_gemma":0.01284035,"domain_scores_codex":[0.9998124,0.0000278118,0.00001122214,0.00007032425,0.00003242883,0.00004588536],"domain_scores_gemma":[0.9997895,0.0000421357,0.00005964858,0.00002752312,0.00003792789,0.00004333592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000736162,0.0001383308,0.6319028,0.0001538303,0.0001653317,0.001519517,0.004274106,0.0008984206,0.2952043,0.0005400166,0.0002537286,0.06421349],"study_design_scores_gemma":[0.000007594711,0.00007690764,0.9938136,0.00001011739,0.00002845057,0.0007426561,0.0006359675,0.000231915,0.002578946,0.00003944357,0.001827706,0.000006616428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984993,0.00009751754,0.0003072433,0.00001352221,0.000001430872,0.000005111079,0.0002069838,0.000004985078,0.0008639752],"genre_scores_gemma":[0.9965759,0.0001471935,0.001486179,0.00004646075,0.000005950062,0.0000107379,0.0008126879,0.000008970704,0.0009058219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007293243,"threshold_uncertainty_score":0.01450163,"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."}}