{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003964125,0.0001109778,0.0001319707,0.0001257323,0.0001642439,0.000005690203,0.0003166885,0.00008968786,0.0003305846],"category_scores_gemma":[0.000005557729,0.00009650012,0.00002566831,0.0004031089,0.002397617,0.0002147069,0.0002187905,0.00009672236,0.00005836994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001150439,"about_ca_system_score_gemma":0.000004332388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144581,"about_ca_topic_score_gemma":0.00001869765,"domain_scores_codex":[0.9987479,0.00001612434,0.0002348624,0.0004035106,0.0003043377,0.0002932456],"domain_scores_gemma":[0.9996667,0.000006303085,0.00006468921,0.0002094983,0.000001393884,0.00005143169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000004865834,0.00008822236,0.3726625,0.000001848631,9.699057e-7,0.000005371918,0.00007850605,0.002831808,0.6193794,0.0009353121,0.000003149313,0.004008041],"study_design_scores_gemma":[0.0007594889,0.000350944,0.7170783,0.000008741217,0.00002252419,0.00005388282,0.0004103796,0.08971296,0.1627841,0.02665173,0.001623754,0.0005432316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939049,0.00004357355,0.001777775,0.0002981904,0.00002378114,0.000125418,0.000008620713,0.00005368001,0.003764061],"genre_scores_gemma":[0.998862,0.00001436797,0.0009159056,0.0000580067,0.000004314069,0.000008654769,0.000004018729,0.000005104592,0.0001276516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4565952,"threshold_uncertainty_score":0.8834118,"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."}}