{"id":"W2053568823","doi":"10.1016/j.agwat.2010.07.012","title":"Development of DRAIN–WARMF model to simulate flow and nitrogen transport in a tile-drained agricultural watershed in Eastern Canada","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture; McGill University; University of Guelph","funders":"","keywords":"Watershed; Hydrology (agriculture); Subsurface flow; Environmental science; Tile drainage; Water table; Hydrological modelling; Time of concentration; Soil science; Soil water; Geology; Groundwater; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002497723,0.0007094053,0.0006080944,0.00047997,0.001541496,0.001264197,0.001534627,0.001257331,0.001970814],"category_scores_gemma":[0.0007295614,0.0005251775,0.0006208973,0.0005885061,0.0007937356,0.0004809171,0.000536744,0.0007520241,0.0001777645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009943401,"about_ca_system_score_gemma":0.01329035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565893,"about_ca_topic_score_gemma":0.9260055,"domain_scores_codex":[0.9998606,0.00001398327,0.000006345504,0.00003621016,0.00002563802,0.00005723226],"domain_scores_gemma":[0.9996692,0.00006079987,0.00001993417,0.00001427394,0.0001531299,0.00008265857],"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":[0.00005248054,0.00007800198,0.01164703,0.00001522334,0.00002390825,0.0001109599,0.00004266117,0.9837683,0.0007753485,0.000433214,0.0005947211,0.002458178],"study_design_scores_gemma":[0.00002853744,0.00001063119,0.002463267,0.000002757267,0.000007190055,0.000004556885,0.00005074072,0.9967484,0.0002570823,0.00006922325,0.0003479926,0.000009610517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868826,0.0000842618,0.00416946,0.0002150353,0.00003295085,0.00006198759,0.001315573,0.0004110995,0.006827058],"genre_scores_gemma":[0.9922395,0.00005663338,0.003865826,0.00003533784,0.00000484052,0.00002787193,0.0009021449,0.00004219974,0.002825652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04341072,"threshold_uncertainty_score":0.08733267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006643917188410365,"score_gpt":0.1815219144111092,"score_spread":0.1748779972226988,"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."}}