{"id":"W2525304083","doi":"10.2134/jeq2016.02.0056","title":"Effects of Feeding Encapsulated Nitrate to Beef Cattle on Ammonia and Greenhouse Gas Emissions from Their Manure in a Short‐Term Manure Storage System","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Agriculture and Agri-Food Canada","keywords":"Manure; Animal science; Ammonia; Chemistry; Manure management; Nitrate; Nitrous oxide; Urea; Beef cattle; Dry matter; Carbon dioxide; Greenhouse gas; Latin square; Nitrogen; Environmental chemistry; Agronomy; Food science; Ecology; Biology; Fermentation; Rumen","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002838707,0.000193322,0.0004471014,0.0001134153,0.00003538425,0.000009946298,0.0002089511,0.0001714708,0.00002848347],"category_scores_gemma":[0.0001208099,0.0001204203,0.0001029404,0.00006096669,0.00005429608,0.0001069388,0.0000972705,0.0002891959,0.000004208665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002573242,"about_ca_system_score_gemma":0.000006190163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002933059,"about_ca_topic_score_gemma":0.000003955618,"domain_scores_codex":[0.998696,0.00007415045,0.0005753985,0.0001935415,0.0002531933,0.0002077594],"domain_scores_gemma":[0.9991519,0.0003055474,0.000160356,0.0001979123,0.000006312573,0.000177899],"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":[0.0001664312,0.0001490725,0.007683339,0.0000781431,0.00004569825,0.00003972783,0.0002832735,0.00006405926,0.9838865,0.00001624167,0.00003228065,0.007555247],"study_design_scores_gemma":[0.001519346,0.000245027,0.2809722,0.001565631,0.00003555474,0.00001566047,0.0006400681,0.000108494,0.7145549,0.00008002146,0.0000582957,0.0002048831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987507,0.0002762016,0.0003758642,0.0002096452,0.00007541958,0.0001730494,0.00007602577,0.00003511328,0.00002801242],"genre_scores_gemma":[0.9995894,0.00007924209,0.0001938869,0.00001667019,0.00005099872,0.000005696669,0.000001234269,0.00001999146,0.00004290909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2732888,"threshold_uncertainty_score":0.4910597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240462012652859,"score_gpt":0.2372734065983775,"score_spread":0.2248687864718489,"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."}}