{"id":"W2134578711","doi":"10.4141/cjas10058","title":"Comparison of Angus cattle populations using gene variants and microsatellites","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Microsatellite; Loss of heterozygosity; Biology; SNP; Single-nucleotide polymorphism; Genetics; Population; Allele; Allele frequency; Genotype; Gene; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007123241,0.0001890325,0.0002436843,0.001884436,0.0007468228,0.000626301,0.0002341162,0.0001253897,0.0008109621],"category_scores_gemma":[0.0008989791,0.0001111229,0.0001669411,0.001026477,0.0003304556,0.00009444271,0.0002568051,0.0001643676,0.00006957343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221913,"about_ca_system_score_gemma":0.000446724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09809994,"about_ca_topic_score_gemma":0.1759336,"domain_scores_codex":[0.9993901,0.0001264548,0.00003725413,0.0001940308,0.0001541452,0.0000979419],"domain_scores_gemma":[0.999319,0.0001857302,0.0001041687,0.00003808067,0.0002494451,0.0001037084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009435111,0.000100149,0.9257445,0.00003405071,0.0004775826,0.0002235795,0.003453715,0.0004516264,0.04212799,0.0005616479,0.0001634383,0.02571818],"study_design_scores_gemma":[0.00001495335,0.00007982768,0.9976246,0.000007164717,0.00005877654,0.000148666,0.0005052155,0.0005110227,0.0005697823,0.00006449249,0.0004077497,0.000007778904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992412,0.00005802848,0.0001923353,0.000004181295,9.060898e-7,0.000004037127,0.00006261189,0.000001859722,0.0004348017],"genre_scores_gemma":[0.9989278,0.00005847094,0.0004289716,0.000008010393,0.00000327309,0.000007634201,0.0003279808,0.000002739685,0.000235229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09809994,"threshold_uncertainty_score":0.1950579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07637052788966624,"score_gpt":0.3075945432037745,"score_spread":0.2312240153141082,"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."}}