{"id":"W2030173684","doi":"10.1061/(asce)0733-9372(2006)132:10(1314)","title":"Analytical Urban Storm Water Quality Models Based on Pollutant Buildup and Washoff Processes","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Surface runoff; Pollutant; Storm; Water quality; Hydrology (agriculture); Storm Water Management Model; Stormwater; Meteorology; Geology; Geotechnical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002939228,0.0001978485,0.0002133498,0.0001051139,0.00007825785,0.00003552951,0.0001716035,0.0000523028,0.000364714],"category_scores_gemma":[0.00001150176,0.0001497548,0.00007776995,0.00008244663,0.0001012532,0.0004357051,0.0001122367,0.0001909367,0.00003347082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004446117,"about_ca_system_score_gemma":0.000004367985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003564639,"about_ca_topic_score_gemma":0.000006401677,"domain_scores_codex":[0.9985111,0.00002116871,0.0004257243,0.0002037801,0.0005208524,0.0003173551],"domain_scores_gemma":[0.9995633,0.00003689462,0.0001006507,0.0001653323,0.000002341894,0.0001314162],"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":[0.00004853795,0.0003358565,0.0254387,0.00003267334,0.00003000407,0.00004091222,0.0001323405,0.9499396,0.02299575,0.0001118699,0.0006506741,0.0002430594],"study_design_scores_gemma":[0.002393112,0.0006582442,0.465855,0.0001097899,0.0002085831,0.00008941884,0.0001292673,0.5007233,0.01393761,0.0004828507,0.01435789,0.001054902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886487,0.0000863572,0.009602637,0.000239077,0.00008932073,0.0001131748,0.00001474665,0.0000234927,0.001182565],"genre_scores_gemma":[0.9981128,0.00001054994,0.00140429,0.00007823774,0.00008701151,0.000002978726,0.00000336479,0.0000243356,0.0002764524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4492163,"threshold_uncertainty_score":0.6106824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008548322627870223,"score_gpt":0.1882103731764432,"score_spread":0.1796620505485729,"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."}}