{"id":"W4234322926","doi":"10.1554/0014-3820(2001)055[1249:egcinp]2.0.co;2","title":"ESTIMATING GENETIC CORRELATIONS IN NATURAL POPULATIONS IN THE ABSENCE OF PEDIGREE INFORMATION: ACCURACY AND PRECISION OF THE LYNCH METHOD","year":2001,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Jackknife resampling; Statistics; Biology; Correlation; Sample size determination; Pedigree chart; Genetic correlation; Sample (material); Fraction (chemistry); Sampling (signal processing); Standard error; Mathematics; Genetics; Genetic variation; Computer science","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":[0.01842083,0.0004867827,0.001283844,0.001701335,0.000431868,0.001040508,0.001068297,0.0007649948,0.000606675],"category_scores_gemma":[0.09159602,0.0004716487,0.0004046693,0.0009325831,0.001514705,0.001520002,0.001114725,0.0008123117,0.0003365687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469075,"about_ca_system_score_gemma":0.0003347085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424837,"about_ca_topic_score_gemma":0.001851276,"domain_scores_codex":[0.9828678,0.01246096,0.0005234822,0.002179973,0.001784192,0.0001834805],"domain_scores_gemma":[0.915451,0.06848517,0.005861842,0.006462167,0.003462754,0.000277166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00075981,0.0001288417,0.4127835,0.0006648229,0.001121886,0.001017936,0.002680243,0.05726362,0.02729236,0.0183628,0.004010948,0.4739132],"study_design_scores_gemma":[0.0002436818,0.0007086303,0.3684777,0.0003480502,0.0005219845,0.002872932,0.0007989688,0.4926184,0.02984196,0.08794684,0.01522579,0.0003951167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2822642,0.001646356,0.712656,0.0003276276,0.00008963514,0.00006554821,0.0002313018,0.0004000916,0.00231919],"genre_scores_gemma":[0.7730287,0.0007605885,0.2245768,0.0001554808,0.0001291174,0.0001214698,0.0002520595,0.0001280288,0.0008477586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01842083,"threshold_uncertainty_score":0.0974198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743304507641161,"score_gpt":0.2960300558983017,"score_spread":0.2785970108218901,"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."}}