{"id":"W3002156705","doi":"10.1002/jeq2.20002","title":"Predicting nitrous oxide emissions after the application of solid manure to grassland in the United Kingdom","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Athabasca University","funders":"","keywords":"Nitrous oxide; Environmental science; Manure; Soil water; Greenhouse gas; Calibration; Nitrogen; Grassland; Soil and Water Assessment Tool; Animal science; Hydrology (agriculture); Soil science; Chemistry; Agronomy; Mathematics; Drainage basin; Ecology","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":[0.0004240382,0.0005030629,0.0003771878,0.0003169958,0.0002724758,0.0006561473,0.0004092462,0.0007189959,0.0002998967],"category_scores_gemma":[0.001063874,0.0003080959,0.0004868897,0.0004433653,0.0002042403,0.0004610876,0.000280968,0.0002580039,0.0001204408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210508,"about_ca_system_score_gemma":0.0006657699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2630028,"about_ca_topic_score_gemma":0.2534337,"domain_scores_codex":[0.999778,0.0000451847,0.00002357513,0.00006650746,0.00004561202,0.00004112489],"domain_scores_gemma":[0.9993215,0.0002764461,0.0001145917,0.00005164021,0.0002019431,0.00003390616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008911067,0.0002910653,0.5126949,0.0002187498,0.000236942,0.0009737076,0.000315681,0.419013,0.04649876,0.00009646924,0.000618918,0.01815076],"study_design_scores_gemma":[0.0000538505,0.0003123604,0.4315677,0.0000230786,0.00007332159,0.0001124765,0.0004458922,0.5496297,0.01696966,0.00006472873,0.0007028513,0.00004429829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992717,0.00003310585,0.0003471503,0.00001043656,0.000002114725,0.000007448413,0.0001677266,0.00001904344,0.0001413257],"genre_scores_gemma":[0.9989198,0.00003816444,0.0005119116,0.000006360813,4.804415e-7,0.000007575671,0.0003743688,0.000004186005,0.0001371023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2630028,"threshold_uncertainty_score":0.522944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345997241662633,"score_gpt":0.2785447945922941,"score_spread":0.2550848221756678,"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."}}