{"id":"W3201996282","doi":"10.1111/gwmr.12483","title":"Artificial Sweeteners Identify Spatial Patterns of Historic Landfill Contaminated Groundwater Discharge in an Urban Stream","year":2021,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McMaster University","funders":"Ministry of Environment; Government of Ontario; Environment and Climate Change Canada; McMaster University","keywords":"Leachate; Groundwater; Environmental science; STREAMS; MODFLOW; Hyporheic zone; Hydrology (agriculture); Contamination; Aquifer; Urban stream; Groundwater discharge; Environmental engineering; Baseflow; Plume; Groundwater flow; Surface water; Waste management; Geology; Drainage basin; Geography; Streamflow; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009580057,0.0001223782,0.0001688491,0.0009116394,0.0001934222,0.0003740609,0.0001228457,0.0001914246,0.0004982646],"category_scores_gemma":[0.0001686217,0.0001026775,0.0001296564,0.0010715,0.0001944715,0.0001413651,0.0002532766,0.00007441382,0.00009472817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003036854,"about_ca_system_score_gemma":0.0001988391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008153522,"about_ca_topic_score_gemma":0.01867087,"domain_scores_codex":[0.9999197,0.00001141706,0.000007173657,0.00002529263,0.00001971713,0.00001683327],"domain_scores_gemma":[0.9998711,0.00002284805,0.00004645505,0.000006486914,0.00003297181,0.00001999175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000307748,0.00008206006,0.9566231,0.00003242403,0.00003033077,0.0002083787,0.0004207855,0.001125971,0.03147668,0.00004964428,0.0001003808,0.009542439],"study_design_scores_gemma":[0.000005318653,0.0001312459,0.989631,0.00000451402,0.00001609633,0.0001207142,0.0007345561,0.003368451,0.005581154,0.00003658259,0.0003617826,0.000008615138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996544,0.00001169871,0.0001239686,0.000002354648,2.538072e-7,0.000002497428,0.0001044478,0.000007664457,0.0000926697],"genre_scores_gemma":[0.9992681,0.00001938452,0.0003615704,0.000002609068,5.999614e-7,0.000004626944,0.0001928413,0.000001492111,0.0001487383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008153522,"threshold_uncertainty_score":0.01621217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161173919808182,"score_gpt":0.2477775767618997,"score_spread":0.2261658375638179,"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."}}