{"id":"W2164686690","doi":"10.1093/jhered/esi039","title":"Estimating Heritabilities and Genetic Correlations with Marker-Based Methods: An Experimental Test in Mimulus guttatus","year":2005,"lang":"en","type":"article","venue":"Journal of Heredity","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Pairwise comparison; Quantitative genetics; Statistics; Heritability; Evolutionary biology; Estimator; Genetic correlation; Population; Genetic variation; Genetics; Gene; Mathematics; Demography","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":[0.0002092304,0.00007301836,0.0001421474,0.000009561702,0.0001091549,0.00003241463,0.00006058067,0.00002771893,0.00005908946],"category_scores_gemma":[0.000086379,0.0000266547,0.00002468634,0.00007154082,0.00006154543,0.0001547989,0.00001471956,0.0001020907,5.587527e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002555914,"about_ca_system_score_gemma":0.000008923202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006237659,"about_ca_topic_score_gemma":0.0014154,"domain_scores_codex":[0.9994308,0.00007191803,0.0001973215,0.00008036313,0.0001038748,0.0001156792],"domain_scores_gemma":[0.999373,0.0004084125,0.0001089191,0.00001016527,0.00003912182,0.00006041661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001388043,0.0004264068,0.8225276,0.000007420566,0.00001005748,0.00003758653,0.0003868333,0.0005455998,0.12945,0.000004145228,0.0001603301,0.04630521],"study_design_scores_gemma":[0.0002532174,0.000888516,0.9880057,0.00004112101,0.000007836029,0.0000902278,0.001318379,0.007633984,0.001189094,0.00004065303,0.000445051,0.00008622055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985876,0.0007728548,0.0000396976,0.0004083456,0.00003785896,0.00004434194,0.000009323709,0.000006768586,0.00009317177],"genre_scores_gemma":[0.9467583,0.000007109624,0.05288773,0.00003508615,0.000298124,0.000001527431,9.134511e-7,5.002813e-7,0.00001066981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1654781,"threshold_uncertainty_score":0.1086947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413207836560478,"score_gpt":0.2854523570952136,"score_spread":0.2413202787296088,"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."}}