{"id":"W2135228717","doi":"10.1071/ea08082","title":"Brahman and Brahman crossbred cattle grown on pasture and in feedlots in subtropical and temperate Australia. 2. Meat quality and palatability","year":2009,"lang":"en","type":"article","venue":"Animal Production Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Meat and Livestock Australia; McMaster University","keywords":"Brahman; Sire; Crossbreed; Biology; Animal science; Beef cattle; Breed; Shorthorn; Palatability; Feedlot; Tenderness; Veterinary medicine; Food science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005250288,0.0004281058,0.0003146176,0.0006176031,0.000561959,0.0002097345,0.0002810943,0.0001912813,0.001164786],"category_scores_gemma":[0.0002471132,0.0002950291,0.0002165975,0.0003876322,0.000323903,0.0001992502,0.0003696716,0.0002227156,0.0002898481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000444907,"about_ca_system_score_gemma":0.0002421056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648341,"about_ca_topic_score_gemma":0.08389561,"domain_scores_codex":[0.9995872,0.0001205231,0.00002183777,0.0001264489,0.00006908015,0.00007485747],"domain_scores_gemma":[0.999741,0.00003261533,0.00007788588,0.00002261629,0.00002886352,0.00009696346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002877522,0.001842106,0.7789308,0.0001308525,0.0002464394,0.0009648231,0.002996243,0.0002840708,0.1964439,0.0001776571,0.0003352436,0.01477036],"study_design_scores_gemma":[0.00001856476,0.0007019852,0.9974232,0.000003530941,0.00002176054,0.0002001975,0.000375538,0.00009377869,0.0008235319,0.000009396691,0.0003256189,0.000002964234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997153,0.00002736089,0.00004149855,0.000002447598,8.148976e-7,0.00001333124,0.00006528539,0.0000011733,0.0001327299],"genre_scores_gemma":[0.994563,0.0001068479,0.001295616,0.00005928044,0.000004229103,0.00006197884,0.0009755537,0.00000504362,0.002928329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01648341,"threshold_uncertainty_score":0.03277493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752932958322941,"score_gpt":0.3258731661690875,"score_spread":0.288343836585858,"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."}}