{"id":"W2891184914","doi":"10.1016/j.envpol.2018.08.102","title":"Modeling nitrous oxide emissions from digestate and slurry applied to three agricultural soils in the United Kingdom: Fluxes and emission factors","year":2018,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Digestate; Environmental science; Soil water; Manure; Slurry; Environmental engineering; Fertilizer; Soil science; Anaerobic digestion; Agronomy; Chemistry; Methane","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":[0.0004548977,0.0009494211,0.0007728096,0.0003789232,0.0007465482,0.001595804,0.0009152831,0.002045201,0.0008923294],"category_scores_gemma":[0.001400561,0.0007414257,0.001199921,0.0007216274,0.0006403042,0.0008705495,0.0005378061,0.0007294338,0.0001472361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004375665,"about_ca_system_score_gemma":0.001975656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4886705,"about_ca_topic_score_gemma":0.314736,"domain_scores_codex":[0.9997451,0.00006509734,0.00002127336,0.00007090781,0.00002199409,0.00007568589],"domain_scores_gemma":[0.999118,0.0006158957,0.00007081874,0.00003032575,0.0001123637,0.0000526219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004592161,0.0001429706,0.02375384,0.00006064977,0.00007639801,0.0002217368,0.0001208764,0.9697586,0.003139356,0.0002091271,0.0001164674,0.001940729],"study_design_scores_gemma":[0.0001379502,0.0002065228,0.01847287,0.00001018443,0.00007672911,0.00002683497,0.00032255,0.9776103,0.002788412,0.0001383682,0.0001798887,0.00002932033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989358,0.00002891915,0.0004497564,0.00002991387,0.000003057728,0.000008542534,0.0001435429,0.00001254782,0.0003880296],"genre_scores_gemma":[0.9987618,0.00004409019,0.0004762694,0.000008023449,0.000001004176,0.00001590858,0.0001923779,0.000007474962,0.0004932128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4886705,"threshold_uncertainty_score":0.9716522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273461300093265,"score_gpt":0.2115460797884117,"score_spread":0.188811466787479,"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."}}