{"id":"W2114404218","doi":"10.1371/journal.pone.0103813","title":"Selection Signatures in Worldwide Sheep Populations","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; National Chemical Laboratory; Institut National de la Recherche Agronomique; Aristotle University of Thessaloniki; Háskóli Íslands; Universidad de León; Adnan Menderes Üniversitesi; Landbúnaðarháskóli Íslands; Chinese Academy of Agricultural Sciences; Universiteit Utrecht; Commonwealth Scientific and Industrial Research Organisation; University of Alberta; Universität Hohenheim; Aberystwyth University; U.S. Department of Agriculture","keywords":"International HapMap Project; Selection (genetic algorithm); Biology; Evolutionary biology; Linkage disequilibrium; Genome; Domestication; Genetic diversity; Disequilibrium; Adaptation (eye); Computational biology; Genetics; Haplotype; Population; Allele; Computer science; Human genome; Gene; Artificial intelligence","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":[0.00006661633,0.00007191659,0.00007885021,0.00003725594,0.00003758047,0.000008282904,0.00007867816,0.00008878322,0.0000518739],"category_scores_gemma":[0.00007646969,0.00007476038,0.00002143484,0.0000797535,0.00001987562,0.000001468582,0.0000229479,0.00008113449,0.00001077343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006203047,"about_ca_system_score_gemma":0.00001346128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001424892,"about_ca_topic_score_gemma":0.0002052021,"domain_scores_codex":[0.9994614,0.00004258053,0.0001065056,0.000174009,0.00008540895,0.0001301595],"domain_scores_gemma":[0.9997706,0.000007712401,0.00002646945,0.0001307206,0.00002903345,0.00003541965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008935654,0.001340189,0.1187962,0.00005273737,0.0001036845,1.533954e-7,0.000116665,0.007910673,0.8430285,0.02249593,0.001793867,0.004272005],"study_design_scores_gemma":[0.0006013232,0.0004331098,0.8327898,0.00004972893,0.0000496067,7.824511e-7,0.0000150823,0.0008709781,0.1521531,0.01052048,0.002226097,0.0002898329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886383,0.0001540012,0.003762709,0.0001399841,0.00004403592,0.0001200542,0.000002320259,0.00001393805,0.007124634],"genre_scores_gemma":[0.9592361,0.000005302723,0.03874555,0.0001830764,0.0002306198,0.00001787172,0.00003012029,0.00001100873,0.001540288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7139936,"threshold_uncertainty_score":0.304864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349718266610858,"score_gpt":0.2312349506936829,"score_spread":0.2077377680275743,"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."}}