{"id":"W2016088587","doi":"10.4296/cwrj3603882","title":"A GIS-Based Model to Assess the Risk of On-Site Wastewater Systems Impacting Groundwater and Surface Water Resources","year":2011,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"U.S. Environmental Protection Agency","keywords":"Groundwater; Groundwater recharge; Environmental science; Surface water; Water resource management; Risk assessment; Wastewater; Safeguard; Geographic information system; Resource (disambiguation); Water supply; Environmental planning; Environmental engineering; Hydrology (agriculture); Risk analysis (engineering); Geography; Engineering; Business; Aquifer; Remote sensing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004472632,0.000780649,0.0004797532,0.0007187952,0.0006103584,0.001231509,0.001251713,0.001152764,0.003802335],"category_scores_gemma":[0.001281687,0.0004259236,0.0006067108,0.0005267953,0.000636803,0.0006804224,0.0006183891,0.0005494341,0.0002999139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004259899,"about_ca_system_score_gemma":0.003615472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2967016,"about_ca_topic_score_gemma":0.1733689,"domain_scores_codex":[0.9997752,0.00005642629,0.0000109069,0.00003955475,0.00006297149,0.00005486074],"domain_scores_gemma":[0.9995104,0.0002353564,0.00005240933,0.00001568597,0.0001494728,0.00003676642],"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":[0.00001743423,0.00001301505,0.001517299,0.000008421579,0.000009302194,0.00003953317,0.00002096745,0.9955032,0.0001827936,0.001176122,0.0002264615,0.001285415],"study_design_scores_gemma":[0.000008286027,0.00001359491,0.0003758341,0.000002413737,0.000006721373,0.00001031514,0.00002143431,0.9986917,0.00007854579,0.0004604275,0.0003271893,0.000003533966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7118091,0.0002850142,0.2372342,0.001147486,0.0000713945,0.0003733456,0.003618098,0.00118124,0.04428018],"genre_scores_gemma":[0.9757457,0.0001395662,0.01347072,0.0000384107,0.000008790214,0.0001426327,0.0005468404,0.00003765294,0.009869636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2967016,"threshold_uncertainty_score":0.5899491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370854325857141,"score_gpt":0.2074000099699286,"score_spread":0.1703145773842145,"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."}}