{"id":"W2998567935","doi":"10.1093/jas/skz258.828","title":"PSXII-3 Impact of a fibrolytic enzyme additive on digestibility and performance in the grower and early finisher phases of feedlot cattle","year":2019,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Feedlot; Animal science; Dry matter; Randomized block design; Silage; Feed conversion ratio; Rumen; Chemistry; Digestion (alchemy); Biology; Body weight; Food science; Agronomy","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":[0.0005963899,0.0004032224,0.0008023718,0.0003288908,0.0002230488,0.0005750215,0.0002523147,0.0003457384,0.001023687],"category_scores_gemma":[0.0003981117,0.0001785314,0.0002373817,0.000143482,0.0002774735,0.000221802,0.0002037117,0.0004851228,0.0002036175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005794993,"about_ca_system_score_gemma":0.0003593534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003554228,"about_ca_topic_score_gemma":0.006681787,"domain_scores_codex":[0.9996091,0.0001065784,0.00002905778,0.0000821892,0.00009714113,0.00007600157],"domain_scores_gemma":[0.9993935,0.00009915724,0.0001496335,0.00003480185,0.00006510834,0.0002578535],"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":[0.02606981,0.001842013,0.006408771,0.00007563533,0.00008679526,0.00005444277,0.00007310915,0.0002327502,0.9578781,0.0000228966,0.0000483869,0.007207262],"study_design_scores_gemma":[0.0008520112,0.144347,0.1920456,0.00003754739,0.0003184046,0.000225417,0.0004349358,0.003116792,0.6560834,0.00005289322,0.002447467,0.00003858397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996697,0.00008249,0.00008551229,0.000008482511,0.000003083648,0.000008443286,0.0000504936,0.000003760048,0.00008808768],"genre_scores_gemma":[0.9959436,0.0001321458,0.001017811,0.00003810797,0.000008572359,0.00003491219,0.0003057484,0.000009540221,0.00250959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003554228,"threshold_uncertainty_score":0.007067084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977713068294466,"score_gpt":0.2638549876637926,"score_spread":0.244077856980848,"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."}}