{"id":"W2765393783","doi":"10.2134/jeq2017.06.0233","title":"Artificial Sweeteners Reveal Septic System Effluent in Rural Groundwater","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Groundwater; Septic tank; Effluent; Aquifer; Environmental science; Wastewater; Hydrology (agriculture); Environmental engineering; Geology","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":[0.0001097215,0.0002036385,0.0002292908,0.0009824033,0.0003198009,0.0003717919,0.0001731344,0.0002967383,0.00073769],"category_scores_gemma":[0.0002674145,0.0001389316,0.0001212895,0.001486218,0.0003444397,0.0001986916,0.0003332594,0.0001202707,0.0001230057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840525,"about_ca_system_score_gemma":0.0003656827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233969,"about_ca_topic_score_gemma":0.03368696,"domain_scores_codex":[0.9998,0.00002987161,0.00002039065,0.00004507775,0.00006614131,0.00003846016],"domain_scores_gemma":[0.9997635,0.00003058641,0.0001026467,0.000005547673,0.00007155215,0.00002616783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003299994,0.0001040497,0.530986,0.0001702826,0.00002824033,0.0009481686,0.001765191,0.0001988657,0.4554629,0.00008991516,0.0001108516,0.009805531],"study_design_scores_gemma":[0.0000150992,0.0005737065,0.944315,0.00002464666,0.00003871759,0.001037526,0.005671558,0.0005998336,0.04547622,0.0001702797,0.002054254,0.00002314289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993979,0.00006170996,0.00008678638,0.00001102867,6.068923e-7,0.000005730763,0.0001391295,0.000003690298,0.000293379],"genre_scores_gemma":[0.9987535,0.0001694755,0.0004410135,0.00002316907,0.000001531146,0.000007673011,0.0002235245,0.000001655065,0.000378322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233969,"threshold_uncertainty_score":0.02453572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870421315798346,"score_gpt":0.2642101426824936,"score_spread":0.2455059295245101,"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."}}