{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004237476,0.0006482892,0.0003670001,0.0006501829,0.0002062155,0.0004662137,0.0001311308,0.0002486316,0.0003713729],"category_scores_gemma":[0.0005546041,0.0001978057,0.0004421569,0.0007512108,0.0002380562,0.0002893376,0.0002270167,0.0003480991,0.0001794092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002927361,"about_ca_system_score_gemma":0.0002613163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002597959,"about_ca_topic_score_gemma":0.00239296,"domain_scores_codex":[0.9996469,0.000106414,0.00003425534,0.00007019093,0.00007024612,0.00007208189],"domain_scores_gemma":[0.9995139,0.0001546016,0.0001064296,0.00002676893,0.00009598049,0.0001023874],"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":[0.000789816,0.0001274216,0.004666506,0.0001112668,0.00004193755,0.00007560547,0.00008672591,0.000328907,0.9909609,0.00002091728,0.00001419711,0.00277576],"study_design_scores_gemma":[0.00002194206,0.002717646,0.1191399,0.00004714083,0.0001918705,0.0002193611,0.0002818259,0.001802615,0.874295,0.00005469209,0.001203769,0.0000241776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978189,0.0009609648,0.0003707633,0.000008558036,0.000003742321,0.00001855592,0.0004162593,0.000002888956,0.0003994559],"genre_scores_gemma":[0.9929335,0.001471767,0.002714298,0.00001851935,0.000007401974,0.00003627791,0.001780306,0.00001399234,0.001023849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002597959,"threshold_uncertainty_score":0.005165756,"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."}}