{"id":"W2045112420","doi":"10.2166/wst.2006.326","title":"Impacts on water quality in the upper Elbow River","year":2006,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Tributary; Hydrology (agriculture); Environmental science; Surface runoff; Groundwater; Nitrate; Water quality; Total suspended solids; Suspended solids; Fecal coliform; Nutrient; Total dissolved solids; Phosphorus; Environmental engineering; Wastewater; Ecology; Geography; Chemical oxygen demand; Geology; Biology","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":[0.0002496642,0.0002517332,0.0003518779,0.001104532,0.001669851,0.001722641,0.0005079671,0.0003456837,0.001608954],"category_scores_gemma":[0.0008948611,0.000158313,0.0002027324,0.002218384,0.001255659,0.0003545719,0.001070857,0.0003260877,0.0001398245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01268817,"about_ca_system_score_gemma":0.005035906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8972447,"about_ca_topic_score_gemma":0.9428608,"domain_scores_codex":[0.9993643,0.00006256235,0.00002002181,0.00007092036,0.0002393252,0.0002428843],"domain_scores_gemma":[0.9995244,0.00004306746,0.0001046128,0.00001556204,0.0002021173,0.0001103795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000401604,0.0001584534,0.9316898,0.00009585074,0.00009012427,0.001779184,0.003282808,0.003269053,0.009377575,0.0005225565,0.001693422,0.04763956],"study_design_scores_gemma":[0.00000439187,0.00003782454,0.9949858,0.00001268132,0.00001508716,0.00007483977,0.001930811,0.0004121515,0.0005062688,0.00007883814,0.001929885,0.00001135695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960541,0.0002191261,0.000101347,0.0001280955,0.000003719783,0.000008738228,0.0002265717,0.00003325619,0.003225061],"genre_scores_gemma":[0.9977604,0.0002070833,0.0001728814,0.00006114818,0.000002792654,0.000005070036,0.0002584035,0.000005492482,0.001526698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027553,"threshold_uncertainty_score":0.2067209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007747319950376433,"score_gpt":0.2340315389379341,"score_spread":0.2262842189875576,"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."}}