{"id":"W3109227031","doi":"10.1093/jas/skaa382","title":"Calcium salts of fatty acids with varying fatty acid profiles in diets of feedlot-finished <i>Bos indicus</i> bulls: impacts on intake, digestibility, performance, and carcass and meat characteristics","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Feedlot; Dry matter; Soybean meal; Animal science; Cottonseed; Beef cattle; Fatty acid; Neutral Detergent Fiber; Calcium; Feed conversion ratio; Cottonseed meal; Calcium salts; Chemistry; Biology; Food science; Body weight; Biochemistry","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":[0.001135631,0.0001684908,0.00045648,0.0000428157,0.0001368164,0.00006481193,0.0003265636,0.00005961702,0.00001305289],"category_scores_gemma":[0.0004315395,0.00006597021,0.0000409057,0.0006625062,0.0006500254,0.0005152797,0.0001560313,0.0002807336,4.148521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002381802,"about_ca_system_score_gemma":0.00007495355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000555485,"about_ca_topic_score_gemma":0.00001505241,"domain_scores_codex":[0.9981196,0.0000741884,0.0005790971,0.0003166205,0.0006141019,0.0002963867],"domain_scores_gemma":[0.9987634,0.0001171375,0.0005498177,0.00005378322,0.0002384741,0.0002773775],"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":[0.0007000014,0.00006259321,0.4193532,0.00007167436,0.000003456515,0.00000476197,0.0003896342,9.079807e-7,0.576991,0.00001700269,0.000002888084,0.002402933],"study_design_scores_gemma":[0.0002128291,0.004327124,0.7039986,0.0001484113,0.000008549274,0.00002421928,0.0001740593,0.00004578966,0.2909443,0.00001063374,0.00001213824,0.00009330198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985931,0.00007384356,0.000001906025,0.0009487235,0.00003516355,0.0001608133,0.00003055636,0.000005809215,0.0001501175],"genre_scores_gemma":[0.9994126,0.00009828666,0.0002519681,0.0001233643,0.0001093736,6.916104e-7,0.000001294712,0.000001316555,0.000001099074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2860467,"threshold_uncertainty_score":0.2690187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05156327864651332,"score_gpt":0.2653989083591967,"score_spread":0.2138356297126834,"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."}}