{"id":"W2091137185","doi":"10.1111/j.1420-9101.2007.01412.x","title":"A framework for power and sensitivity analyses for quantitative genetic studies of natural populations, and case studies in Soay sheep (<i>Ovis aries</i>)","year":2007,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Environment Research Council; Sight Research UK; Leverhulme Trust; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Biology; Pedigree chart; Covariance; Statistical power; Quantitative genetics; Range (aeronautics); Ovis; Statistics; Sensitivity (control systems); Evolutionary biology; Genetics; Genetic variation; Ecology; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3020874,0.004179101,0.005266612,0.008341441,0.001950981,0.006062494,0.006029265,0.006191942,0.00667143],"category_scores_gemma":[0.4215974,0.002160559,0.007904535,0.00518879,0.009052886,0.005184231,0.007008891,0.00966283,0.0007566952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005010346,"about_ca_system_score_gemma":0.004792808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005118946,"about_ca_topic_score_gemma":0.002425684,"domain_scores_codex":[0.7335656,0.238583,0.006679732,0.01015569,0.009650808,0.001365226],"domain_scores_gemma":[0.5153026,0.4475197,0.01170447,0.01810237,0.006468648,0.0009021809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002773799,0.0001624334,0.005089183,0.001235336,0.001834204,0.0008134368,0.001450232,0.1636112,0.001123454,0.7629962,0.002844842,0.05856225],"study_design_scores_gemma":[0.0001989042,0.00035894,0.001519049,0.000340781,0.0003985726,0.0002613272,0.0001557233,0.2034075,0.0005916081,0.7838929,0.00878239,0.00009219458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001559681,0.0004133852,0.994122,0.0007175392,0.00006936052,0.0009825095,0.000175283,0.0001303526,0.001829853],"genre_scores_gemma":[0.1256182,0.0008045441,0.855174,0.001106973,0.0003311214,0.01529887,0.000349249,0.0001600735,0.001156869],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3020874,"threshold_uncertainty_score":0.8606505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037630227919286,"score_gpt":0.437307078587274,"score_spread":0.3335440557953454,"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."}}