{"id":"W2067189225","doi":"10.1111/j.0014-3820.2001.tb00645.x","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":12,"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002024474,0.00005161487,0.00005689219,0.00003718395,0.00004857267,0.000005028602,0.0001244772,0.00005299373,0.000002745288],"category_scores_gemma":[0.0003443709,0.0000353584,0.0000221218,0.0001908678,0.00004866559,0.00001287284,0.00004414495,0.00007592982,3.794431e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008606398,"about_ca_system_score_gemma":0.00003652195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000113741,"about_ca_topic_score_gemma":0.0001885299,"domain_scores_codex":[0.999419,0.00009589003,0.0002487777,0.00007381146,0.00009189158,0.00007059859],"domain_scores_gemma":[0.9995856,0.00005962238,0.000124878,0.0001750939,0.00004637821,0.000008403802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005529846,0.00007880952,0.7252671,0.00004057101,0.000008155876,7.669976e-8,0.003073231,0.2184745,0.007251746,0.01027953,0.000199124,0.03527182],"study_design_scores_gemma":[0.0001902271,0.000035512,0.977542,0.00002617579,0.000004714992,0.00001278483,0.0001898357,0.01709136,0.00009705126,0.004696812,0.00007554998,0.00003791652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8641281,0.0004160116,0.1347879,0.00009149472,0.0001308417,0.000197563,0.000003945603,0.000001271351,0.0002428689],"genre_scores_gemma":[0.9280607,0.000007278039,0.071844,0.00001766535,0.00003172843,0.000008224249,0.00001170966,0.000001831722,0.00001686623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.252275,"threshold_uncertainty_score":0.1441874,"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."}}