{"id":"W2118632834","doi":"10.1111/j.1558-5646.2009.00793.x","title":"SEX-SPECIFIC GENETIC VARIANCE AND THE EVOLUTION OF SEXUAL DIMORPHISM: A SYSTEMATIC REVIEW OF CROSS-SEX GENETIC CORRELATIONS","year":2009,"lang":"en","type":"review","venue":"Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":349,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK; University of Alberta","keywords":"Biology; Sexual dimorphism; Trait; Selection (genetic algorithm); Genetic architecture; Evolutionary biology; Sexual selection; Covariance; Population; Genetic correlation; Genetic variation; Variance (accounting); Statistics; Genetics; Quantitative trait locus; Demography; Zoology; Gene; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00196144,0.0007908032,0.00245206,0.005118141,0.0001890709,0.0008830085,0.001009246,0.0007003797,0.002005416],"category_scores_gemma":[0.004611452,0.0004765159,0.0007254982,0.008719669,0.0006534835,0.00134487,0.000548776,0.00060193,0.00054269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007879162,"about_ca_system_score_gemma":0.001784126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002796683,"about_ca_topic_score_gemma":0.004109016,"domain_scores_codex":[0.9994004,0.0001350263,0.0001233509,0.0001605175,0.0001622674,0.00001848415],"domain_scores_gemma":[0.9958073,0.003164629,0.0004570044,0.00009539101,0.0004136802,0.00006191203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006555229,0.0000212166,0.001704148,0.04750291,0.0006502377,0.0001969674,0.0001318884,0.0009026959,0.0007606473,0.002533874,0.005342974,0.9401869],"study_design_scores_gemma":[0.00006796255,0.0003111322,0.04692461,0.05890627,0.004110096,0.004278978,0.0004985461,0.0009033957,0.002214303,0.01358807,0.8680151,0.0001815583],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000365883,0.9988523,0.0003025107,0.00009599602,0.00003216914,0.000003247531,0.00004425705,0.000005297308,0.0002984255],"genre_scores_gemma":[0.002246513,0.9970261,0.000455446,0.00006084766,0.00003304667,0.000005484945,0.00005271252,0.000002453218,0.0001173739],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005118141,"threshold_uncertainty_score":0.01037323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05104532505678072,"score_gpt":0.2628570898237286,"score_spread":0.2118117647669479,"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."}}