{"id":"W2067622700","doi":"10.2166/wst.2010.475","title":"Combining multimedia models with integrated urban water system models for micropollutants","year":2010,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Stormwater; Combined sewer; Sewerage; Environmental science; Infiltration (HVAC); Surface water; Drainage; Environmental engineering; Groundwater; Sewage; Water quality; Hydrology (agriculture); Surface runoff; Water resource management; Engineering; Meteorology","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":[0.000240516,0.0008663,0.0004895714,0.0005553301,0.0003341951,0.0009079597,0.0009754592,0.0009243168,0.002395947],"category_scores_gemma":[0.0007216914,0.0003729394,0.0009251786,0.0006488764,0.000263015,0.0009836049,0.000595367,0.00050825,0.0002772763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138316,"about_ca_system_score_gemma":0.0007868662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02845102,"about_ca_topic_score_gemma":0.02322501,"domain_scores_codex":[0.9998819,0.00002877682,0.000008915112,0.00002687528,0.00003205285,0.00002145752],"domain_scores_gemma":[0.9997701,0.0001147992,0.00003088748,0.00001589108,0.00005236539,0.00001598096],"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":[0.00001064765,0.00001576369,0.0004437808,0.00001055054,0.00001069653,0.0000202051,0.000009659095,0.9952105,0.0005184122,0.001181901,0.00006309757,0.002504939],"study_design_scores_gemma":[0.000004569648,0.00001242578,0.0001039373,0.000001662147,0.000007934396,0.000004126255,0.000007720019,0.9984863,0.0003683567,0.0006856904,0.0003129787,0.000004248029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4603054,0.0003590351,0.513333,0.0003725344,0.0001028161,0.0002546572,0.001846246,0.001089627,0.02233671],"genre_scores_gemma":[0.9440342,0.0002981454,0.04790908,0.00005896165,0.00003168106,0.0002891823,0.0007197667,0.0001086894,0.006550271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02845102,"threshold_uncertainty_score":0.05657083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012041062399189,"score_gpt":0.2000255093721834,"score_spread":0.1899050987481915,"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."}}