{"id":"W2100327440","doi":"10.1111/j.1365-294x.2009.04247.x","title":"A quantitative review of heterozygosity–fitness correlations in animal populations","year":2009,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":461,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Tertiary Education Commission","keywords":"Biology; Inbreeding; Trait; Univariate; Evolutionary biology; Multivariate statistics; Quantitative genetics; Genetic variation; Population; Selection (genetic algorithm); Heritability; Loss of heterozygosity; Statistics; Genetics; Demography; Allele; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006089202,0.001143642,0.002722186,0.01063289,0.0003098046,0.001543397,0.0009199283,0.0007031058,0.003859464],"category_scores_gemma":[0.02287374,0.0008161169,0.002171693,0.01251653,0.0009396694,0.001627317,0.0008470954,0.00100507,0.0005856921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145981,"about_ca_system_score_gemma":0.003021168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003465546,"about_ca_topic_score_gemma":0.004693028,"domain_scores_codex":[0.9967468,0.001090308,0.0007725887,0.0006714035,0.0006587643,0.00006021981],"domain_scores_gemma":[0.9744083,0.02024622,0.002425864,0.0007131659,0.002035928,0.0001705394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.000177228,0.00004778295,0.005444561,0.1604704,0.007659274,0.0001982805,0.0003550709,0.001713633,0.001476546,0.005181506,0.031008,0.7862677],"study_design_scores_gemma":[0.00006366045,0.0004669299,0.074874,0.1238996,0.01950139,0.002415731,0.0003350566,0.0009619612,0.001382664,0.01095214,0.7649119,0.0002350053],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006039349,0.9963768,0.00129029,0.0004820509,0.0003025292,0.00001104069,0.0003916518,0.00001566399,0.0005260675],"genre_scores_gemma":[0.009482007,0.9862587,0.002153429,0.0005448043,0.000616728,0.0000479401,0.0004761906,0.00002781599,0.0003923554],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01063289,"threshold_uncertainty_score":0.03220314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620082498103446,"score_gpt":0.3558495884693251,"score_spread":0.3096487634882907,"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."}}