{"id":"W2066638129","doi":"10.1021/es060426z","title":"Hydrologic Modeling of Pathogen Fate and Transport","year":2006,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"Watershed; Environmental science; Tile drainage; Surface runoff; Hydrology (agriculture); Microorganism; Subsurface flow; Drainage; Indicator bacteria; Groundwater; Environmental engineering; Ecology; Water quality; Soil water; Biology; Bacteria; Fecal coliform; Soil science; 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":[0.000236763,0.000408333,0.0003460581,0.0003700783,0.0005831498,0.0009712345,0.0009961013,0.0009013463,0.001713443],"category_scores_gemma":[0.0007515288,0.00036086,0.0004073301,0.0006484032,0.0006259996,0.0007748869,0.0005607835,0.0005732275,0.000241829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523036,"about_ca_system_score_gemma":0.00244276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1499065,"about_ca_topic_score_gemma":0.07598837,"domain_scores_codex":[0.999896,0.00002188154,0.000006957412,0.00002535173,0.00002306057,0.00002681182],"domain_scores_gemma":[0.9998054,0.00005503994,0.00003452306,0.00001267101,0.00006264789,0.00002961815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001234848,0.00001951721,0.004767148,0.00001089286,0.00001094199,0.00005104577,0.000031082,0.989553,0.001227255,0.002464396,0.0002455645,0.001606809],"study_design_scores_gemma":[0.000009554501,0.000007759167,0.000938575,0.00000158348,0.000006097527,0.00001066138,0.00001799618,0.9973983,0.0002857519,0.0007244187,0.0005951049,0.000004201986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8060527,0.0003632187,0.169532,0.001152927,0.00007110676,0.0001735601,0.004323027,0.0007206672,0.01761078],"genre_scores_gemma":[0.9816211,0.0003679097,0.009412692,0.00003737521,0.00001951943,0.0001155779,0.0008786485,0.00005131853,0.007495869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1499065,"threshold_uncertainty_score":0.298068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006854800407608923,"score_gpt":0.195402250050985,"score_spread":0.1885474496433761,"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."}}