{"id":"W2982066914","doi":"10.3390/ani9110861","title":"Chemical Composition, In Vitro Digestibility and Rumen Fermentation Kinetics of Agro-Industrial By-Products","year":2019,"lang":"en","type":"article","venue":"Animals","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Universidad de León; Universidad Politécnica de Cartagena; Universidad de Zaragoza; Ministerio de Ciencia, Innovación y Universidades","keywords":"Asparagus; Food science; Pepper; Fermentation; Rumen; Sugar; Chemistry; Sugar beet; Pomace; Beet pulp; Chemical composition; Orange (colour); Horticulture; Botany; Biology","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":[0.00007057343,0.00006198141,0.0001428665,0.000006433438,0.00001295963,0.000008533172,0.00005344591,0.00006133392,0.00005409563],"category_scores_gemma":[0.0000292983,0.00002906859,0.00001633953,0.0001192492,0.00005594231,0.00004801332,0.00002899795,0.00004837411,0.000007752987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001209389,"about_ca_system_score_gemma":0.000002002773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006700213,"about_ca_topic_score_gemma":0.000001795227,"domain_scores_codex":[0.9994248,0.00004956959,0.0001603123,0.0001908466,0.00006797308,0.000106527],"domain_scores_gemma":[0.9997695,0.00007707174,0.00005736667,0.00002767572,0.00003894008,0.00002945133],"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":[0.0001797509,0.000139363,0.02084082,0.000005618774,0.000001574248,2.150414e-7,0.00001224661,1.02992e-7,0.9769845,0.00007956319,0.0001969425,0.001559309],"study_design_scores_gemma":[0.0002412715,0.0001700707,0.3132056,0.000007832181,0.000001905848,0.000001037691,0.00003408988,0.000002810973,0.6859,0.0002049031,0.0001824943,0.00004807289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984117,0.00005560207,1.404376e-7,0.001093563,0.00002884967,0.0001888699,0.00004884094,0.000008408922,0.0001640718],"genre_scores_gemma":[0.9996927,0.00001665613,0.00002801381,0.00006009702,0.00004609037,0.000003516735,0.0001342465,3.810636e-7,0.00001823691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2923647,"threshold_uncertainty_score":0.1185383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163844877800193,"score_gpt":0.2275938706544042,"score_spread":0.2059554218764023,"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."}}