{"id":"W2907390608","doi":"10.2134/jeq2018.06.0240","title":"Modeling the Impacts of Manure on Phosphorus Loss in Surface Runoff and Subsurface Drainage","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; McGill University; Agriculture and Agri-Food Canada","funders":"","keywords":"Surface runoff; Manure; Environmental science; Drainage; Phosphorus; Hydrology (agriculture); Soil loss; Tile drainage; Surface water; Environmental engineering; Agronomy; Soil water; Soil science; Geology; Geotechnical engineering; Ecology; Chemistry","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":[0.0002416347,0.0003594747,0.0002762021,0.0001981721,0.0002135112,0.0006625594,0.0003915848,0.0005810327,0.0006587091],"category_scores_gemma":[0.000483084,0.0002239284,0.0004372725,0.0003148345,0.0002162905,0.0005500949,0.0002974597,0.0002992481,0.000084383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008371099,"about_ca_system_score_gemma":0.0009538239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02639757,"about_ca_topic_score_gemma":0.02065796,"domain_scores_codex":[0.9998791,0.00003067595,0.000006806935,0.00002833336,0.0000220947,0.00003300913],"domain_scores_gemma":[0.9998487,0.00007982579,0.00001997417,0.000009023352,0.00003276737,0.00000964566],"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":[0.0000656817,0.000054199,0.01390043,0.00002441143,0.00002316523,0.00006888735,0.00002060518,0.9757079,0.005306112,0.000317071,0.00009074686,0.004420743],"study_design_scores_gemma":[0.00001397425,0.00009186217,0.005276931,0.000003701346,0.00001599277,0.00001679752,0.00003263709,0.9907477,0.003265204,0.0002675715,0.0002615999,0.000005976767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891458,0.0000626301,0.007940019,0.00004478256,0.000007134281,0.0000249995,0.0002851176,0.00005634267,0.00243301],"genre_scores_gemma":[0.9973556,0.00007985245,0.001748942,0.00001256553,0.000001426507,0.00001723153,0.00012347,0.000006763982,0.0006541125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02639757,"threshold_uncertainty_score":0.05248779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352386447764085,"score_gpt":0.2556407247913962,"score_spread":0.2421168603137553,"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."}}