{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006388957,0.0002966959,0.0002685931,0.0005925676,0.0007780705,0.0001201636,0.001592412,0.0002002215,0.00009970302],"category_scores_gemma":[0.00001021811,0.0001675857,0.0000459783,0.0008525024,0.003207877,0.001221257,0.0008862399,0.0003629532,0.0003706705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339956,"about_ca_system_score_gemma":0.00002586337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002428696,"about_ca_topic_score_gemma":0.0002422286,"domain_scores_codex":[0.9970129,0.0000155226,0.0003212363,0.000921077,0.0004281786,0.001301119],"domain_scores_gemma":[0.9988452,0.000009732092,0.00006348311,0.0008684384,0.0000599645,0.0001531414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003087538,0.00009070622,0.00215826,0.00001238658,0.00001452344,0.00001403646,0.002352542,0.005886315,0.9811127,0.006943807,0.0003284233,0.001055435],"study_design_scores_gemma":[0.0008480856,0.0002067896,0.0000527222,0.00002362303,0.00003746726,0.00006611466,0.0008339479,0.4257543,0.5615946,0.006010391,0.004082445,0.0004895034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8419101,0.000004769122,0.1507347,0.0009779932,0.000538956,0.0009636781,0.00001857446,0.0008024038,0.00404885],"genre_scores_gemma":[0.9638788,5.590653e-7,0.03476807,0.00007071612,0.00001739827,0.0002181652,0.00001123946,0.00003387667,0.001001248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.419868,"threshold_uncertainty_score":0.9995048,"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."}}