{"id":"W4392580149","doi":"10.5194/egusphere-egu24-11118","title":"Enhancing Nitrogen Removal in European River Basins: The Crucial Role of Wetland Conservation and Restoration as Nature-Based Solutions","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wetland; Environmental science; Nitrogen; Conservation; Water resource management; Wetland conservation; Hydrology (agriculture); Environmental protection; Environmental resource management; Agroforestry; Ecology; Geology; Chemistry; Biology; Geotechnical engineering","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":[0.001058711,0.0003946834,0.0003467584,0.000400663,0.0004037262,0.001371628,0.0006317652,0.0008353278,0.0006293728],"category_scores_gemma":[0.001055724,0.0001556538,0.0005197542,0.0006257831,0.0007637161,0.001165412,0.001002767,0.000274596,0.0001060036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384757,"about_ca_system_score_gemma":0.001689374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04484682,"about_ca_topic_score_gemma":0.04521598,"domain_scores_codex":[0.9996469,0.0001309138,0.00001783249,0.00007785575,0.00007252353,0.0000538778],"domain_scores_gemma":[0.9997678,0.00005719247,0.0000571988,0.00002420017,0.00005340358,0.00004017037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001402691,0.0001593161,0.07419237,0.0006477057,0.0003518905,0.0006943343,0.0003560323,0.6864163,0.0163864,0.02891285,0.003976231,0.1877663],"study_design_scores_gemma":[0.0000669929,0.0002697204,0.09905419,0.0004988323,0.0002442715,0.0003544228,0.001172485,0.7791321,0.008643723,0.03634528,0.07404213,0.0001758829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689189,0.01445591,0.08354036,0.005132908,0.0001229962,0.00004528215,0.0005237807,0.0005670186,0.02669293],"genre_scores_gemma":[0.9833067,0.003190214,0.0119713,0.0002988109,0.00001818846,0.00001513092,0.0002062732,0.00005503512,0.0009383734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04484682,"threshold_uncertainty_score":0.08917159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009407954281947668,"score_gpt":0.2271304806367543,"score_spread":0.2177225263548067,"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."}}