{"id":"W2165116754","doi":"10.1186/1471-2164-12-318","title":"Application of site and haplotype-frequency based approaches for detecting selection signatures in cattle","year":2011,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"H. Wilhelm Schaumann Stiftung; Bundesministerium für Bildung und Forschung","keywords":"Biology; Haplotype; Selection (genetic algorithm); Computational biology; Genetics; Allele frequency; DNA microarray; Evolutionary biology; Genotype; Computer science; Artificial intelligence; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002044506,0.000316846,0.0004320984,0.004576684,0.0003045697,0.0007280899,0.0004958863,0.0005071225,0.001032608],"category_scores_gemma":[0.003849394,0.0001641011,0.0005110652,0.002098674,0.0003762295,0.0002640049,0.0006765614,0.0004541146,0.0002812505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000297898,"about_ca_system_score_gemma":0.0002986333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002064905,"about_ca_topic_score_gemma":0.003900958,"domain_scores_codex":[0.9989527,0.0004124208,0.00007009399,0.0003096313,0.0001785127,0.00007654883],"domain_scores_gemma":[0.9964837,0.002250351,0.0006130041,0.0002124901,0.0002831814,0.0001572726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005932273,0.0001890358,0.7344706,0.0003779949,0.001267489,0.0004645021,0.0007388814,0.0174346,0.06383531,0.001257139,0.0005151768,0.178856],"study_design_scores_gemma":[0.0000603482,0.0003085318,0.8344231,0.00005335134,0.0003844731,0.001001145,0.0005217757,0.1502582,0.007438304,0.003601583,0.001882772,0.00006640252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146141,0.0007184088,0.08135534,0.0000454015,0.00001110527,0.00008380556,0.001313342,0.0002060287,0.001652485],"genre_scores_gemma":[0.9411339,0.0001089095,0.05718923,0.00002766387,0.00001620417,0.0000641576,0.001141436,0.00002475371,0.0002937092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004576684,"threshold_uncertainty_score":0.01081258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866509806848499,"score_gpt":0.2239360689419199,"score_spread":0.1952709708734349,"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."}}