{"id":"W2738073882","doi":"10.1111/age.12574","title":"Identification of positive selection signatures in pigs by comparing linkage disequilibrium variances","year":2017,"lang":"en","type":"article","venue":"Animal Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Biology; Linkage disequilibrium; Genetics; Quantitative trait locus; Genotyping; Selection (genetic algorithm); SNP genotyping; Allele; Genome Scan; Evolutionary biology; Microsatellite; Genotype; Haplotype; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020593,0.0001116827,0.0001262218,0.00002350772,0.00009935901,0.00004207986,0.0002937315,0.0001336893,0.000006520452],"category_scores_gemma":[0.00004458311,0.0001200276,0.00003998147,0.00003306226,0.0001204366,0.000005787172,0.00009562806,0.00008361969,0.000001909487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006954472,"about_ca_system_score_gemma":0.00003450938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003193407,"about_ca_topic_score_gemma":0.00005058548,"domain_scores_codex":[0.9992003,0.00003828831,0.000240467,0.0002628486,0.0001006941,0.0001573783],"domain_scores_gemma":[0.9994084,0.000008499535,0.0002043656,0.0002723221,0.00006821113,0.00003817698],"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":[0.00008647751,0.00007217287,0.07761762,0.00001796902,0.00002359724,1.703486e-7,0.0000797981,0.0009224767,0.9197512,0.0006082295,0.000399525,0.0004207596],"study_design_scores_gemma":[0.0002321747,0.0002857523,0.685603,0.00001219928,0.00001410548,8.744001e-7,0.00001880932,0.0005133435,0.3126972,0.0003441182,0.000170297,0.0001080641],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942197,0.001300413,0.002979455,0.00004562735,0.000113724,0.0001461804,0.00003310299,0.00000468301,0.001157159],"genre_scores_gemma":[0.997632,0.0000842572,0.001760247,0.00002299255,0.0001296325,0.000007645559,0.00003847521,0.00001356705,0.0003112074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6079854,"threshold_uncertainty_score":0.4894581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134604417100452,"score_gpt":0.2647250518302939,"score_spread":0.2533790076592893,"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."}}