{"id":"W2171166692","doi":"","title":"Simulating nitrogen pollution potential in surface and subsurface runoff in Ontario using EPIC model","year":2011,"lang":"en","type":"article","venue":"","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Surface runoff; Nitrogen; Soil water; Hydrology (agriculture); Leaching (pedology); Soil science; Manure; Tillage; Agronomy; Ecology; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134815,0.0005806219,0.000249698,0.0003078505,0.0006093828,0.0005889598,0.0006827817,0.0006030009,0.001359999],"category_scores_gemma":[0.0003870969,0.0002932722,0.0004356449,0.0004656257,0.0003761318,0.0003178419,0.0003543516,0.0002548244,0.0001127985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005303711,"about_ca_system_score_gemma":0.005135765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8484851,"about_ca_topic_score_gemma":0.8192744,"domain_scores_codex":[0.9998944,0.00001081634,0.000004309456,0.00002474628,0.00002356502,0.00004211171],"domain_scores_gemma":[0.9998437,0.00003654394,0.00002028607,0.000007811166,0.00006938392,0.00002230119],"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":[0.00008865782,0.00004627799,0.03758145,0.00003903715,0.0000236388,0.0001725156,0.00007607389,0.9549809,0.002314667,0.0004104366,0.0004720618,0.003794418],"study_design_scores_gemma":[0.00003164138,0.00002838799,0.01312287,0.000003981088,0.0000169751,0.00001681144,0.00007114639,0.9851285,0.0005734873,0.0001272469,0.0008675651,0.0000114388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880332,0.0000928302,0.003716877,0.0001012558,0.000008317196,0.00003604373,0.001276587,0.0001879368,0.006546981],"genre_scores_gemma":[0.9951332,0.00009377358,0.001608365,0.00001165954,0.000002634107,0.00001647253,0.000784474,0.00001419836,0.002335211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1515149,"threshold_uncertainty_score":0.3048145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07325875591529334,"score_gpt":0.2216598971748805,"score_spread":0.1484011412595872,"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."}}