{"id":"W2083830168","doi":"10.1016/j.watres.2010.08.025","title":"Global sensitivity analysis in wastewater treatment plant model applications: Prioritizing sources of uncertainty","year":2010,"lang":"en","type":"article","venue":"Water Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":162,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Wastewater; Sewage treatment; Sensitivity (control systems); Environmental science; Uncertainty analysis; Environmental engineering; Waste management; Environmental resource management; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003508489,0.001371122,0.001259098,0.001270428,0.0005099818,0.001378199,0.0007900158,0.001368144,0.002106702],"category_scores_gemma":[0.008410603,0.0006174875,0.001823945,0.001186585,0.0006946308,0.001482483,0.001460001,0.001143671,0.00007130754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464293,"about_ca_system_score_gemma":0.001076229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01480147,"about_ca_topic_score_gemma":0.008905082,"domain_scores_codex":[0.9988471,0.0008232075,0.00003222235,0.0000907357,0.0001088784,0.00009776049],"domain_scores_gemma":[0.9959406,0.003560114,0.0001104266,0.00014555,0.0002056925,0.00003764018],"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":[0.00004589441,0.00001148398,0.0007282126,0.00002295499,0.00005760288,0.00003267298,0.00001202336,0.996111,0.000484752,0.0007666527,0.00009942013,0.001627352],"study_design_scores_gemma":[0.00002791473,0.00007413056,0.0009902582,0.00001178016,0.00007303141,0.00001755504,0.00004904294,0.9930254,0.001451083,0.003981649,0.0002813186,0.00001680647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8250859,0.0005746341,0.1604261,0.001059598,0.00006753679,0.0001581759,0.001639749,0.0003418446,0.01064643],"genre_scores_gemma":[0.9893017,0.0001443044,0.009504865,0.00008882905,0.00001124447,0.00005781391,0.0003000131,0.00007127221,0.0005199874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01480147,"threshold_uncertainty_score":0.02943063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797099048444395,"score_gpt":0.3158643035331943,"score_spread":0.2778933130487503,"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."}}