{"id":"W2552271262","doi":"10.2134/jeq2016.04.0122","title":"Greenhouse Gas Emissions from Stored Dairy Slurry from Multiple Farms","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Wilfrid Laurier University; Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Slurry; Greenhouse gas; Environmental science; Waste management; Greenhouse; Environmental engineering; Agronomy; Ecology; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008073032,0.0002955905,0.0006731696,0.0005031957,0.000401796,0.0008940609,0.0005193851,0.0003840046,0.0005679025],"category_scores_gemma":[0.000753876,0.000253509,0.0004846234,0.0008836498,0.0001742322,0.0005209786,0.0004899564,0.000286602,0.0001389687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009087992,"about_ca_system_score_gemma":0.0004383806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007291922,"about_ca_topic_score_gemma":0.01443559,"domain_scores_codex":[0.9995891,0.00004397103,0.00003847721,0.000125786,0.0001693853,0.00003329417],"domain_scores_gemma":[0.9993986,0.0001551718,0.0001173123,0.00006042576,0.0002372613,0.00003124222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000811707,0.000182136,0.5951205,0.0002756505,0.0004304772,0.001107437,0.000563587,0.005833206,0.36269,0.00006394178,0.0002243086,0.0326971],"study_design_scores_gemma":[0.00004978911,0.0008908208,0.8606785,0.00005020503,0.0003551743,0.0006695237,0.001486491,0.01162985,0.1221471,0.0001855655,0.001792791,0.00006425548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992059,0.0001055823,0.0003264141,0.00001202131,0.000002595908,0.000003288258,0.0001737498,0.00000853995,0.0001618444],"genre_scores_gemma":[0.997856,0.0001801651,0.0009309469,0.00001814563,0.00000397283,0.000008473406,0.0006671941,0.000006158863,0.0003290656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007291922,"threshold_uncertainty_score":0.01449895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473952571850509,"score_gpt":0.2549553790119659,"score_spread":0.2302158532934608,"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."}}