{"id":"W2828278580","doi":"10.1093/tas/txy084","title":"In situ rumen degradation of kernels from short-season corn silage hybrids as affected by processing1,2","year":2018,"lang":"en","type":"article","venue":"Translational Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council","keywords":"Silage; Rumen; Hybrid; In situ; Agronomy; Degradation (telecommunications); Biology; Animal science; Chemistry; Food science; Fermentation; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003483016,0.000384441,0.0003047472,0.0002242711,0.0002836607,0.0006457634,0.0001860355,0.0002881544,0.0005058345],"category_scores_gemma":[0.0002986245,0.0002048617,0.0002764023,0.0001997587,0.0002488033,0.0002630579,0.0001857645,0.0003876642,0.0001309173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006282958,"about_ca_system_score_gemma":0.00029683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008959861,"about_ca_topic_score_gemma":0.01344131,"domain_scores_codex":[0.9998088,0.00002312326,0.00001358157,0.00006405522,0.0000501399,0.00004021929],"domain_scores_gemma":[0.9995847,0.0001040429,0.0001407955,0.00002379008,0.0000769826,0.00006955813],"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":[0.0006013176,0.00001969327,0.002188636,0.00001854134,0.000008719278,0.00001932098,0.00004597058,0.00002128749,0.9965897,0.000004579766,0.000003491151,0.000478831],"study_design_scores_gemma":[0.00001688068,0.001385074,0.2014226,0.000006453752,0.00005903488,0.000196127,0.0003464291,0.000846947,0.7951804,0.00001849522,0.0005068875,0.00001465911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992809,0.0001509218,0.0003582411,0.000004313783,0.000002098912,0.000005701801,0.00008718616,0.000003367134,0.0001073066],"genre_scores_gemma":[0.9966404,0.0001682577,0.001867731,0.00002096012,0.000002677257,0.00001370423,0.0003844034,0.00001345214,0.0008883771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008959861,"threshold_uncertainty_score":0.01781541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377433853366898,"score_gpt":0.2683422694781392,"score_spread":0.2445679309444702,"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."}}