{"id":"W2103413860","doi":"","title":"Trends in sire variance estimates by birth year","year":2000,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sire; Variance (accounting); Econometrics; Trait; Statistics; Variance components; Estimation; Mathematics; Economics; Biology; Animal science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004207982,0.0004733865,0.0004853803,0.0004003222,0.000441481,0.0003785563,0.001345776,0.0003582787,0.3864022],"category_scores_gemma":[0.0007106024,0.0005125043,0.0002245608,0.0006841248,0.0002116597,0.0001874202,0.0001396948,0.0004877227,0.01279067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008192962,"about_ca_system_score_gemma":0.0001979542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330516,"about_ca_topic_score_gemma":0.002819129,"domain_scores_codex":[0.9938857,0.000898988,0.001149291,0.0009802128,0.002272349,0.0008134583],"domain_scores_gemma":[0.9974445,0.0004534532,0.0003754053,0.0005251838,0.000938441,0.0002630772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008579206,0.001170118,0.008710383,0.00005927672,0.000196656,0.00002616905,0.007097321,0.001910275,0.0001589069,0.01126369,0.9213114,0.04723793],"study_design_scores_gemma":[0.002006689,0.0000747795,0.006022097,0.0001481339,0.00003832927,0.000005631343,0.001219316,0.003560337,0.00007622839,0.001047547,0.9852449,0.0005560492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1114413,0.0005429378,0.000300316,0.2185843,0.001629357,0.0009764223,0.0003392496,0.0004323918,0.6657537],"genre_scores_gemma":[0.8970951,0.0004507263,0.00209305,0.01503158,0.00109664,0.0003213328,0.0009015109,0.0001001621,0.0829099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7856538,"threshold_uncertainty_score":0.9997327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457038731822029,"score_gpt":0.3413189695364152,"score_spread":0.3067485822181949,"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."}}