{"id":"W3048633793","doi":"10.1016/j.cosust.2020.07.003","title":"Approaches and concepts of modelling denitrification: increased process understanding using observational data can reduce uncertainties","year":2020,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Karlsruhe Institute of Technology","keywords":"Denitrification; Biogeochemical cycle; Environmental science; Scope (computer science); Representation (politics); Vegetation (pathology); Process (computing); Computer science; Biochemical engineering; Environmental engineering; Engineering; Chemistry; Environmental chemistry; Nitrogen","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":[0.008290112,0.001277131,0.001094639,0.001234611,0.0005310291,0.003095034,0.002978693,0.001621388,0.0009560311],"category_scores_gemma":[0.01386716,0.0006615635,0.001277769,0.001301738,0.001908167,0.006231755,0.002469071,0.003205974,0.0002405981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963072,"about_ca_system_score_gemma":0.001401548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007074382,"about_ca_topic_score_gemma":0.003895665,"domain_scores_codex":[0.997444,0.001401188,0.0001663256,0.0004019948,0.000518615,0.00006775167],"domain_scores_gemma":[0.995575,0.00266022,0.0004918341,0.0007299632,0.0004334346,0.0001096373],"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":[0.00008057055,0.0001397655,0.007044848,0.0009324011,0.0004853779,0.00006867735,0.0005986293,0.5527841,0.003343229,0.3365858,0.002027808,0.0959088],"study_design_scores_gemma":[0.00002562497,0.00004419915,0.001948822,0.0002829138,0.0000578404,0.00002654848,0.0002105499,0.377007,0.0009445037,0.6053848,0.01399694,0.0000702434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02645869,0.008282682,0.9490209,0.008587132,0.0002940665,0.00008255526,0.000602725,0.0002514816,0.006419742],"genre_scores_gemma":[0.4991741,0.02556916,0.4693284,0.001287716,0.00083234,0.0009026199,0.00078317,0.0001978882,0.001924547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008290112,"threshold_uncertainty_score":0.04384285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3519811297794296,"score_gpt":0.3532802379093106,"score_spread":0.001299108129880933,"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."}}