{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004605539,0.0002755525,0.0002942544,0.0005962532,0.002265184,0.000868837,0.0009582895,0.000270226,0.0003803966],"category_scores_gemma":[0.001101146,0.0002253048,0.0002390522,0.001071529,0.001550959,0.0003277233,0.0007046111,0.0004189989,0.00003606987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01749367,"about_ca_system_score_gemma":0.01525808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9608256,"about_ca_topic_score_gemma":0.9931293,"domain_scores_codex":[0.9993507,0.00006682547,0.00002082836,0.0001615582,0.000237028,0.0001629606],"domain_scores_gemma":[0.9992168,0.00008735018,0.0001624401,0.00003750959,0.0002656484,0.0002302418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003724465,0.0004597169,0.9360319,0.00006768462,0.0001967916,0.0005069578,0.002689992,0.002438808,0.02362728,0.0002293181,0.0005990149,0.03278016],"study_design_scores_gemma":[0.000006168094,0.00006893029,0.9976642,0.000003624438,0.00001625996,0.0000190167,0.0008858036,0.0005653349,0.0003480478,0.00001930989,0.0003964499,0.000006914265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994892,0.00003528596,0.00004424315,0.0000399803,7.568658e-7,0.00001310564,0.00004141105,0.000003303881,0.0003328096],"genre_scores_gemma":[0.9989547,0.0001049968,0.0003876817,0.0000368701,0.000001316477,0.00001195614,0.00009229052,0.000002150955,0.0004080121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03917438,"threshold_uncertainty_score":0.1269261,"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."}}