{"id":"W2972551965","doi":"10.1111/jbg.12440","title":"Competition model for international comparisons of livestock","year":2019,"lang":"en","type":"article","venue":"Journal of Animal Breeding and Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sire; Competition (biology); Pairwise comparison; Livestock; Ranking (information retrieval); Econometrics; Economics; Biology; Computer science; Statistics; Ecology; Mathematics; Animal 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":[0.0001286635,0.0000763577,0.0001443007,0.00004190981,0.00002297219,0.00001089054,0.0001344646,0.00007117239,0.000006641409],"category_scores_gemma":[0.00003155449,0.00007113111,0.00007618524,0.00001981293,0.00004805212,0.000003448235,0.00004294955,0.00006125665,4.616042e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004179713,"about_ca_system_score_gemma":0.00004627346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.655073e-7,"about_ca_topic_score_gemma":8.638278e-7,"domain_scores_codex":[0.9994178,0.000009027274,0.0002748548,0.00009761946,0.0001114918,0.00008918417],"domain_scores_gemma":[0.9993322,0.00001785829,0.0002274501,0.00006686088,0.0003040566,0.00005155858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001003884,0.0001559814,0.03252888,0.00008294023,0.0001842581,1.515576e-7,0.0003136579,0.0235443,0.9286031,0.007978244,0.003790004,0.001814617],"study_design_scores_gemma":[0.01115845,0.04599334,0.5115322,0.0004957478,0.0005097137,0.0004102021,0.002069295,0.2003358,0.1774432,0.01151726,0.03729723,0.001237485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249256,0.0006294124,0.07355647,0.0000971424,0.000295237,0.00008135544,0.00002185781,0.000001163004,0.0003917287],"genre_scores_gemma":[0.9023428,0.0001115545,0.0970549,0.00003960282,0.0002778483,7.511388e-7,0.000006606405,0.000008304982,0.0001576088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7511599,"threshold_uncertainty_score":0.2900642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504804662196882,"score_gpt":0.2725680939099351,"score_spread":0.2475200472879663,"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."}}