{"id":"W2171331823","doi":"10.2166/wqrj.2007.025","title":"Evaluation of the Root Zone Water Quality Model (RZWQM) for Southern Ontario: Part II. Simulating Long-Term Effects of Nitrogen Management Practices on Crop Yield and Subsurface Drainage Water Quality","year":2007,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"","keywords":"Loam; Tile drainage; Environmental science; Drainage; Soil water; Agronomy; Surface runoff; Water quality; DNS root zone; Crop rotation; Crop yield; Well drainage; Hydrology (agriculture); Soil science; Crop; Soil salinity; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0562201,0.0002776167,0.000428996,0.0001105539,0.0009132914,0.000143755,0.0005901739,0.0001585397,0.0001412115],"category_scores_gemma":[0.0005223985,0.0001392295,0.0002512759,0.0001111282,0.0004733348,0.0004284553,0.0009179911,0.0007002195,0.00002221291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000653718,"about_ca_system_score_gemma":0.00003825476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008367978,"about_ca_topic_score_gemma":0.008638368,"domain_scores_codex":[0.9911356,0.002414201,0.001247286,0.0005452426,0.003572568,0.001085087],"domain_scores_gemma":[0.9975989,0.0006796638,0.0004739242,0.0006544006,0.0003725862,0.000220489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002144676,0.001209475,0.847954,0.0008415313,0.0004138775,0.00001265137,0.04698649,0.02098985,0.07435959,0.0001207327,0.00003904684,0.004928075],"study_design_scores_gemma":[0.0061342,0.0008398256,0.2847764,0.0004419933,0.0004182406,0.00001618095,0.002585126,0.01061629,0.6235502,0.06968042,0.000162205,0.0007789358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959431,0.00002469628,0.001293814,0.0007033828,0.0001440767,0.001349072,0.00001863868,0.00001242833,0.0005108365],"genre_scores_gemma":[0.9980525,0.000005839455,0.0002651752,0.00005266122,0.00005988045,0.00003225968,0.00002130253,0.00002750522,0.001482851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5631776,"threshold_uncertainty_score":0.9982354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1756676722002298,"score_gpt":0.4194419357155292,"score_spread":0.2437742635152993,"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."}}