{"id":"W2169524573","doi":"10.4141/a04-060","title":"Feedlot cattle diets based on barley or corn supplemented with dry corn gluten feed evaluated using the NRC and CNCPS beef models","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Feedlot; Silage; Beef cattle; Gluten; Animal science; Crossbreed; Biology; Agronomy; Animal feed; Food science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000908813,0.0006401577,0.0005955853,0.0005110184,0.0004868797,0.000428023,0.0004535613,0.0002601835,0.0008835458],"category_scores_gemma":[0.0003609686,0.0002842276,0.0004088376,0.0004516545,0.0003372104,0.0003021899,0.0002449775,0.0004424135,0.0001746416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876067,"about_ca_system_score_gemma":0.0008061097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0345765,"about_ca_topic_score_gemma":0.07018429,"domain_scores_codex":[0.9993727,0.0001301263,0.00003518675,0.0001305512,0.0002316999,0.00009986065],"domain_scores_gemma":[0.9996369,0.00004324979,0.0000897608,0.00003614724,0.00006868496,0.0001252797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03078088,0.005942842,0.02648993,0.0002493058,0.0002673187,0.0002450066,0.0003805991,0.002034921,0.9113444,0.0002508711,0.0003339636,0.02167996],"study_design_scores_gemma":[0.00211452,0.1863419,0.3636435,0.000109556,0.001212311,0.001245456,0.001126919,0.02005161,0.4127645,0.0003012483,0.01096281,0.0001256744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990921,0.0001068977,0.0003360922,0.00001321094,0.000008202765,0.00004059818,0.0001152966,0.000007207463,0.0002803509],"genre_scores_gemma":[0.9922479,0.000406948,0.002861062,0.00006900829,0.00001287922,0.0001309735,0.0008969992,0.000009515214,0.003364598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0345765,"threshold_uncertainty_score":0.0687505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05711188841617668,"score_gpt":0.264925601994675,"score_spread":0.2078137135784983,"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."}}