{"id":"W4408409338","doi":"10.18280/ijdne.200205","title":"Impact of Silages Made of Lignocellulosic Biomass on Rumen Fermentation In-Vitro and Potential Mitigation of Acid Accumulation by Bentonite Supplementation","year":2025,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Syiah Kuala; Lembaga Pengelola Dana Pendidikan; Lembaga Penelitian dan Pengabdian Kepada Masyarakat; Badan Riset dan Inovasi Nasional","keywords":"Rumen; Biomass (ecology); Fermentation; Bentonite; Lignocellulosic biomass; Pulp and paper industry; Food science; Chemistry; Biotechnology; Agronomy; Biology; Chemical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004406037,0.0009888923,0.0007624152,0.0002250382,0.0003089999,0.0009129186,0.0002710789,0.00043897,0.0005650386],"category_scores_gemma":[0.0003303659,0.0002387101,0.0004336538,0.0002107148,0.0002926395,0.0005562699,0.0005085805,0.0006617227,0.0001429025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347659,"about_ca_system_score_gemma":0.0003808393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923911,"about_ca_topic_score_gemma":0.003708985,"domain_scores_codex":[0.9996568,0.00009229561,0.00004049476,0.00006392728,0.0000711483,0.00007530463],"domain_scores_gemma":[0.9997146,0.00006234468,0.00009609759,0.00001575515,0.00003861431,0.00007269533],"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":[0.0006813919,0.0001062911,0.0003739446,0.00008427667,0.00001486294,0.00004409068,0.00002535116,0.0001142414,0.9979531,0.000008806478,0.000004610128,0.0005890023],"study_design_scores_gemma":[0.0000221843,0.003180124,0.006692543,0.00002838289,0.00006461442,0.00006201582,0.0001462425,0.0006360341,0.9887077,0.00001742699,0.0004313537,0.00001150817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988159,0.0006469021,0.0002074398,0.00001489349,0.00001574141,0.0000154217,0.00008115498,0.000004500364,0.000198127],"genre_scores_gemma":[0.9963489,0.0009446081,0.001670659,0.00003693278,0.00001278639,0.00002554997,0.0002536464,0.000007618226,0.0006993405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001923911,"threshold_uncertainty_score":0.003825426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166816406829456,"score_gpt":0.2912714400600087,"score_spread":0.2796032759917141,"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."}}