{"id":"W4362635245","doi":"10.3168/jds.2022-22521","title":"Effect of low dietary concentrations of Acacia mearnsii tannin extract on chewing, ruminal fermentation, digestibility, nitrogen partition, and performance of dairy cows","year":2023,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Federal de Goiás; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Guelph","keywords":"Acacia mearnsii; Tannin; Fermentation; Food science; Chemistry; Nutrient; Dry matter; Animal science; Biology; Botany","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":[0.0001429269,0.0003588798,0.0003692716,0.0002417474,0.000186466,0.0002701498,0.0002057732,0.0002489312,0.0006299348],"category_scores_gemma":[0.0002993856,0.0001438937,0.0002049948,0.0001371152,0.0002288256,0.0002229648,0.0001853899,0.0004963351,0.0001109714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269519,"about_ca_system_score_gemma":0.0001931975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483713,"about_ca_topic_score_gemma":0.002569669,"domain_scores_codex":[0.9998827,0.00003606143,0.00001068484,0.00002970805,0.00002004129,0.00002081454],"domain_scores_gemma":[0.9996878,0.0000579171,0.00008337056,0.00002041833,0.00003058654,0.0001198066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004679548,0.0005629506,0.001633837,0.00006281227,0.00003747857,0.00002883228,0.00003630608,0.00008420077,0.9902561,0.00001180501,0.00002140125,0.002584827],"study_design_scores_gemma":[0.0003083601,0.03702374,0.115811,0.00003585276,0.0002890133,0.0001614332,0.0002432365,0.002135952,0.8423364,0.00008177214,0.00154409,0.00002916827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996307,0.0001886782,0.0000513931,0.00001412014,0.000004197806,0.000003749138,0.00003258391,0.000004531014,0.00007003707],"genre_scores_gemma":[0.9986658,0.0002086754,0.0003776019,0.00003870513,0.000006669632,0.000007627019,0.00009715401,0.000004666008,0.0005931415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001483713,"threshold_uncertainty_score":0.002950191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673399773666099,"score_gpt":0.2857662618572054,"score_spread":0.2590322641205445,"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."}}