{"id":"W2064641417","doi":"10.4141/a06-021","title":"Enteric methane emissions from growing beef cattle as affected by diet and level of intake","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Silage; Beef cattle; Dry matter; Animal science; Forage; Feedlot; Methane emissions; Methane; Agronomy; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003909084,0.0002813702,0.0004961863,0.0002136588,0.0002833112,0.0005184245,0.0001413128,0.0003061602,0.0006121905],"category_scores_gemma":[0.0005756497,0.0002839275,0.0002113301,0.0002099908,0.0003452063,0.0002285533,0.0001808257,0.0005205309,0.0001152925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005174278,"about_ca_system_score_gemma":0.0002397232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406759,"about_ca_topic_score_gemma":0.01100334,"domain_scores_codex":[0.9997305,0.00007065896,0.00001398279,0.00005753152,0.00005392122,0.00007345913],"domain_scores_gemma":[0.9993644,0.0001784899,0.0001618154,0.00003954875,0.00008855262,0.0001672095],"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":[0.01683189,0.0006716635,0.08772022,0.00007449112,0.00009014982,0.0001057676,0.0003215726,0.0002669558,0.887913,0.00001696594,0.00003885802,0.005948379],"study_design_scores_gemma":[0.000106539,0.0104888,0.8987641,0.000009239997,0.0001429881,0.0001711196,0.0003867328,0.00115876,0.08833627,0.00003826718,0.0003745159,0.00002245408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998162,0.00003372219,0.0000685639,0.00000390433,0.000001109808,0.000002786393,0.00003534072,0.000001202495,0.00003715112],"genre_scores_gemma":[0.9984883,0.00008409644,0.0005071118,0.00003417644,0.000004270594,0.00002178266,0.0002612233,0.000005047769,0.0005939626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005406759,"threshold_uncertainty_score":0.01075059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03636504158088308,"score_gpt":0.2472991101906456,"score_spread":0.2109340686097625,"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."}}