{"id":"W7106570446","doi":"10.56542/w.jwempo.v2.i2.a9.2025","title":"Evaluating the Effectiveness of Water Sensitive Urban Design (WSUD) Measures in reducing Runoff at the Water Institute in Dar es Salaam, Tanzania.","year":2025,"lang":"","type":"article","venue":"Journal of Water Resources Engineering Management and Policy","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Impervious surface; Bioretention; Stormwater; Surface runoff; Drainage; Infiltration (HVAC); Low-impact development; Hydrology (agriculture); Urbanization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007808895,0.0004758011,0.0005880958,0.001029352,0.0003647137,0.0001931164,0.0007077449,0.000104831,0.0000407088],"category_scores_gemma":[0.0000655801,0.000212448,0.0001804285,0.0005340216,0.0004457709,0.0005212367,0.001508801,0.0005214322,0.00001724156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009111378,"about_ca_system_score_gemma":0.00001326285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009762022,"about_ca_topic_score_gemma":0.00006331217,"domain_scores_codex":[0.9958563,0.0009290855,0.00113145,0.0004356705,0.0007262258,0.0009212436],"domain_scores_gemma":[0.998986,0.0002312233,0.0001797753,0.0004791117,0.00003944857,0.00008442289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007117647,0.0001211178,0.005967252,0.0006411363,0.0006008591,0.00009403523,0.0240888,0.8669765,0.0978571,0.0002900047,0.0001600014,0.002491447],"study_design_scores_gemma":[0.008660993,0.00122639,0.3387363,0.007113561,0.001782452,0.0001110559,0.002443934,0.06669415,0.5172246,0.001374179,0.05291458,0.00171776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920576,0.0003859705,0.003149923,0.002042995,0.0004169046,0.00117585,0.000003378179,0.00001382649,0.0007536078],"genre_scores_gemma":[0.9972162,0.0001871321,0.0003243042,0.00009136413,0.0001460361,0.00003396049,0.000002623035,0.00003609618,0.001962256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8002824,"threshold_uncertainty_score":0.8663377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937288686767355,"score_gpt":0.2542102857307211,"score_spread":0.2348373988630475,"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."}}