{"id":"W2082644036","doi":"10.4141/a04-011","title":"Use of live ultrasound, weight and linear measurements to predict carcass composition of young beef bulls","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Agricultural Adaptation Council; University of Guelph","keywords":"Rump; Marbled meat; Lean meat; Crossbreed; Mathematics; Ultrasound; Animal science; Longissimus muscle; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009477107,0.0000823818,0.0001819147,0.00005372327,0.0001814916,0.00005358092,0.0002919968,0.00003344237,0.0001039309],"category_scores_gemma":[0.0002720674,0.00003792678,0.00004938028,0.0004015849,0.0003521993,0.0004358787,0.00001959101,0.00008914547,0.000002818115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007112711,"about_ca_system_score_gemma":0.0001574942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006136327,"about_ca_topic_score_gemma":0.01135687,"domain_scores_codex":[0.9987728,0.00005137101,0.0003461609,0.00016302,0.0004165615,0.0002500949],"domain_scores_gemma":[0.9986024,0.00006260398,0.0002096699,0.00003945055,0.0005142061,0.0005716104],"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":[0.00004391903,0.00001850101,0.0889203,0.000004173761,0.000005090288,0.000002516441,0.0003141434,0.000008127037,0.9087037,0.00005568519,0.0001396336,0.001784152],"study_design_scores_gemma":[0.00007540005,0.001193863,0.8691237,0.00007304663,0.00001536902,0.00006669421,0.0001837113,0.00002657354,0.1279377,0.00002108811,0.001186364,0.00009653228],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986538,0.0001389839,0.000003101122,0.0008522015,0.00007212324,0.00008794825,0.0000533141,0.00000190938,0.0001365707],"genre_scores_gemma":[0.9988543,0.00001435102,0.0008094624,0.0001021446,0.0002078199,2.724443e-7,0.000001134815,5.714112e-7,0.000009912465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7807661,"threshold_uncertainty_score":0.9276331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06978124709030258,"score_gpt":0.2543172896377361,"score_spread":0.1845360425474336,"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."}}