{"id":"W1892267374","doi":"","title":"Use of sugar beet silage in feedlot cattle diets","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silage; Forage; Feedlot; Dry matter; Sugar beet; Agronomy; Sugar; Biology; Cattle feeding; Animal science; Dairy cattle; Food science","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":[0.0003296407,0.0003034649,0.0002545264,0.0003053489,0.0003259227,0.0005078323,0.0002110192,0.0002371055,0.00105665],"category_scores_gemma":[0.0003963445,0.0001697955,0.0001762184,0.0003078983,0.000229118,0.0002169036,0.0001792933,0.0003184419,0.0001406608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006629514,"about_ca_system_score_gemma":0.0004881565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006638477,"about_ca_topic_score_gemma":0.02464945,"domain_scores_codex":[0.9997694,0.00006771941,0.00001924207,0.00004127999,0.00005630931,0.00004615544],"domain_scores_gemma":[0.9996985,0.00006398538,0.00007840827,0.00002247825,0.00002825615,0.0001084055],"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":[0.01436502,0.001067976,0.03095918,0.0003199016,0.0001953213,0.0001904841,0.0003927895,0.0005181919,0.9206032,0.0001244507,0.0001288854,0.0311346],"study_design_scores_gemma":[0.000375614,0.02434801,0.6432502,0.0001386958,0.0006767836,0.0007398928,0.001026608,0.003531224,0.3193127,0.0002159651,0.006334671,0.000049632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993299,0.0002143581,0.0001114547,0.0000165933,0.000004449179,0.000004423531,0.00003736923,0.000004418227,0.0002770711],"genre_scores_gemma":[0.9979491,0.0002811154,0.0005844531,0.00004392744,0.000009545257,0.00001476209,0.0001990834,0.000006718912,0.0009113635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006638477,"threshold_uncertainty_score":0.01319963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08183438846565494,"score_gpt":0.2366830503998025,"score_spread":0.1548486619341476,"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."}}