{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107356,0.0002305045,0.0005932135,0.001167642,0.0003066121,0.0006219581,0.0002408451,0.0003173947,0.001646404],"category_scores_gemma":[0.002779611,0.0001208256,0.0004648797,0.001241252,0.0004183895,0.0003294,0.0007640073,0.0003635374,0.0002421107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460835,"about_ca_system_score_gemma":0.0001034867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008860074,"about_ca_topic_score_gemma":0.001723704,"domain_scores_codex":[0.9990953,0.000216408,0.00007957288,0.0004430962,0.00009426678,0.00007146376],"domain_scores_gemma":[0.9988475,0.0003941699,0.0003262273,0.0002093355,0.0001416561,0.00008108359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004117878,0.00004009358,0.860815,0.0001300286,0.0008433432,0.0005032948,0.001103618,0.001481185,0.08753774,0.000738755,0.0004690189,0.04592603],"study_design_scores_gemma":[0.000007862908,0.00004461145,0.9964672,0.00001238463,0.00008782234,0.0003693566,0.0002277106,0.0008181318,0.0009434059,0.000388373,0.0006200791,0.00001305371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974065,0.0003965897,0.001137884,0.000021862,0.000004341478,0.000003392027,0.0003201605,0.0000193087,0.0006898295],"genre_scores_gemma":[0.9979905,0.0001019629,0.0007355148,0.00002423812,0.000007149629,0.00001017982,0.0009563184,0.00001499472,0.0001591502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001646404,"threshold_uncertainty_score":0.005677581,"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."}}