{"id":"W2032947283","doi":"10.2134/jeq2011.0054","title":"The Effects of Multiple Beneficial Management Practices on Hydrology and Nutrient Losses in a Small Watershed in the Canadian Prairies","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada; University of Manitoba","funders":"Agriculture and Agri-Food Canada","keywords":"Surface runoff; Snowmelt; Environmental science; Hydrology (agriculture); Watershed; Riparian zone; Streamflow; Nutrient; Water quality; Drainage basin; Ecology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0012958,0.0001138211,0.0001702194,0.00006267532,0.0001177293,0.00001836693,0.0002938708,0.00005807489,0.000008629991],"category_scores_gemma":[0.00009455894,0.00006444023,0.0000458165,0.00007525859,0.0003764484,0.0001271596,0.00009459104,0.0002229315,0.000004961525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946078,"about_ca_system_score_gemma":0.000006869525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03567012,"about_ca_topic_score_gemma":0.1384841,"domain_scores_codex":[0.9985587,0.0003690161,0.0004338084,0.0001434956,0.0002592181,0.0002357498],"domain_scores_gemma":[0.9988929,0.0004027942,0.0004685738,0.0001646673,0.000001500132,0.00006954822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003788944,0.000441625,0.9922928,0.00002310517,0.00001765338,0.00007702171,0.004296604,0.00005086874,0.00009147546,0.0002785649,0.00001398911,0.002037391],"study_design_scores_gemma":[0.0008461612,0.0004469893,0.9920406,0.00002138553,0.00001601477,0.00001775268,0.001151569,0.00004558981,0.0004820004,0.003922053,0.000931785,0.00007804951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983811,0.00009388214,0.000002859095,0.0006867756,0.00009872086,0.0002622271,0.000004214685,0.000001032055,0.0004691446],"genre_scores_gemma":[0.999352,0.0002813812,0.00009877931,0.0002289566,0.00001345825,0.000008526554,0.000001167617,0.000005194539,0.00001058504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102814,"threshold_uncertainty_score":0.9707514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234795505669334,"score_gpt":0.2387185320946031,"score_spread":0.2152389815276697,"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."}}