{"id":"W2127399819","doi":"10.15232/s1080-7446(15)31374-7","title":"A Repeatability Model for Warner-Bratzler Shear Force in Beef Cattle","year":2003,"lang":"en","type":"article","venue":"The Professional Animal Scientist","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Shorthorn; Repeatability; Heritability; Restricted maximum likelihood; Animal science; Variance components; Biology; Beef cattle; Animal model; Coefficient of variation; Veterinary medicine; Mathematics; Statistics; Maximum likelihood; Genetics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009617311,0.0007498915,0.0007874116,0.001131418,0.0005210387,0.0008116629,0.001885422,0.001023778,0.001949955],"category_scores_gemma":[0.01679738,0.0005844627,0.001102,0.0007268951,0.0007743355,0.0009679215,0.0006029509,0.0007612994,0.0005561697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009552458,"about_ca_system_score_gemma":0.001418538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142245,"about_ca_topic_score_gemma":0.01295101,"domain_scores_codex":[0.9964065,0.001981607,0.0001474752,0.0007903483,0.0003363513,0.0003375557],"domain_scores_gemma":[0.9930599,0.005059839,0.0007348565,0.0004863371,0.000518431,0.000140641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008090002,0.0005120992,0.1892315,0.000211806,0.001199642,0.001342036,0.002092541,0.6538084,0.008474042,0.04888943,0.00284128,0.09058826],"study_design_scores_gemma":[0.00006570967,0.0003195077,0.05694414,0.00002866031,0.0001374542,0.0004202981,0.000122697,0.9226604,0.0004392171,0.01784324,0.0009565694,0.00006206415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6676816,0.0003093231,0.3288384,0.0005214089,0.00003702107,0.000128769,0.0006875144,0.0004159965,0.001379982],"genre_scores_gemma":[0.9781939,0.0001222785,0.01775071,0.0000543961,0.00003438728,0.0002176182,0.0008336163,0.00006381993,0.002729149],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0142245,"threshold_uncertainty_score":0.05086184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179763128025064,"score_gpt":0.2914411665251267,"score_spread":0.2696435352448761,"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."}}