{"id":"W1978728641","doi":"10.1016/j.scitotenv.2006.12.016","title":"Modeling nitrate fluxes at the catchment scale using the integrated tool CAWAQS","year":2007,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Bureau de Recherches Géologiques et Minières; Egg Farmers of Canada","keywords":"Nitrate; Hydrology (agriculture); Denitrification; Environmental science; Drainage basin; Aquifer; Benthic zone; Hyporheic zone; Infiltration (HVAC); Wetland; Water quality; STREAMS; Groundwater; Nitrogen; Surface water; Geology; Ecology; Environmental engineering; Chemistry; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006209784,0.0007079573,0.0008645716,0.0005054548,0.000537092,0.001072346,0.001279834,0.0009004514,0.002792427],"category_scores_gemma":[0.001293189,0.0006237568,0.0007565997,0.001177583,0.0002958558,0.001387073,0.0007083734,0.0007995169,0.0002960381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009045083,"about_ca_system_score_gemma":0.00177598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08506335,"about_ca_topic_score_gemma":0.0747414,"domain_scores_codex":[0.9997985,0.00004389467,0.00001697165,0.00005689403,0.00004785875,0.0000359258],"domain_scores_gemma":[0.9995196,0.0002276212,0.00003344004,0.00005166434,0.0001265425,0.00004114455],"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":[0.00006721682,0.00006247337,0.00416952,0.00004084409,0.00009014511,0.00004074295,0.00004354022,0.982359,0.001958611,0.001481227,0.0008756429,0.008810958],"study_design_scores_gemma":[0.00003198706,0.000008790446,0.0004351099,0.000001617092,0.00001237644,0.000003351648,0.000008052002,0.9978068,0.0004711386,0.0006734524,0.0005406408,0.000006588507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7414055,0.0002821481,0.2350973,0.0003897222,0.0001820235,0.0001246423,0.005598429,0.009498612,0.007421606],"genre_scores_gemma":[0.9335104,0.0001668925,0.06124799,0.00005778337,0.00002856984,0.0001369133,0.002481786,0.0004719732,0.001897777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08506335,"threshold_uncertainty_score":0.1691364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170326731921533,"score_gpt":0.2128273898448108,"score_spread":0.2011241225255954,"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."}}