{"id":"W2014209289","doi":"10.2134/jeq2010.0239","title":"Methane Emissions from Grazing Cattle Using Point‐Source Dispersion","year":2010,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Meat and Livestock Australia; Commonwealth Scientific and Industrial Research Organisation; McMaster University","keywords":"Methane; Greenhouse gas; Environmental science; Grazing; Methane emissions; Leucaena leucocephala; Beef cattle; Atmospheric sciences; Environmental engineering; Agronomy; Animal science; Ecology; Biology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003572207,0.0003068062,0.0003366082,0.000694984,0.0002599871,0.0004006945,0.0004264229,0.0004454428,0.0003152745],"category_scores_gemma":[0.0006117716,0.000215634,0.0004102194,0.0008792887,0.0001693143,0.000476036,0.0003451219,0.0003229392,0.00008664627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005671381,"about_ca_system_score_gemma":0.0002419891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01049952,"about_ca_topic_score_gemma":0.01453843,"domain_scores_codex":[0.9997196,0.00005338318,0.000008268926,0.0000824975,0.0001211034,0.00001529363],"domain_scores_gemma":[0.9997272,0.0001301457,0.00005325799,0.00002321702,0.00005702387,0.000009246682],"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":[0.001149661,0.0003209917,0.1750716,0.0003704464,0.0003030727,0.0001763562,0.001023983,0.08598903,0.5700181,0.0007151871,0.0002338369,0.1646278],"study_design_scores_gemma":[0.000123591,0.001485944,0.2566143,0.00004967764,0.0001949943,0.0004534078,0.000367151,0.5760445,0.162087,0.001103898,0.001328185,0.0001473667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666557,0.0001929913,0.03233268,0.00001491961,0.00000377855,0.00003429502,0.0001191154,0.00009701539,0.0005494655],"genre_scores_gemma":[0.9710138,0.0002154863,0.02807964,0.000007735082,0.000005313158,0.00003875886,0.0002231329,0.00001484294,0.0004013563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01049952,"threshold_uncertainty_score":0.02087677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03474646378564832,"score_gpt":0.2796893160377366,"score_spread":0.2449428522520883,"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."}}