{"id":"W2903098245","doi":"10.5713/ajas.18.0531","title":"Muscle-specific color stability in fresh beef from grain-finished Bos indicus cattle","year":2018,"lang":"en","type":"article","venue":"Asian-Australasian Journal of Animal Sciences","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ciência sem Fronteiras; National Institute of Food and Agriculture; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; International Council for Canadian Studies; University of Kentucky; U.S. Department of Agriculture","keywords":"Beef cattle; Biology; Animal science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002358712,0.0002639858,0.0004774603,0.00006603667,0.000429376,0.0002592092,0.001062329,0.0001613447,0.003321669],"category_scores_gemma":[0.0002775677,0.0001134142,0.000202578,0.001141018,0.001295495,0.0007160528,0.00009772892,0.0004262011,0.00006868171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006685043,"about_ca_system_score_gemma":0.0000849124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004837486,"about_ca_topic_score_gemma":0.002838998,"domain_scores_codex":[0.9966923,0.0003366811,0.0009197164,0.0005922318,0.0007924276,0.0006666711],"domain_scores_gemma":[0.9986016,0.0002176912,0.0005328549,0.000103461,0.000210205,0.0003341637],"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":[0.0004647855,0.000441379,0.2757955,0.000007313899,0.00002060204,0.00007052549,0.001698552,6.54196e-7,0.6794629,0.0007138987,0.003558961,0.03776486],"study_design_scores_gemma":[0.0002862722,0.003690493,0.9575919,0.00005410169,0.000009857165,0.00002374188,0.006198378,0.000004535771,0.02495613,0.001673146,0.005263424,0.0002480334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886643,0.0001730581,0.000001527805,0.005837629,0.0004879242,0.0001837389,0.00005862155,0.00002300349,0.004570221],"genre_scores_gemma":[0.9976258,0.00002744793,0.0006095954,0.000126806,0.001574979,0.000002291778,0.000004549124,0.000001836791,0.00002671022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6817964,"threshold_uncertainty_score":0.9975894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06289133616233165,"score_gpt":0.2783934151383576,"score_spread":0.2155020789760259,"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."}}