{"id":"W2083839090","doi":"10.1061/(asce)1084-0699(2007)12:5(540)","title":"New Runoff Simulation Model for Small Urban Catchments","year":2007,"lang":"en","type":"article","venue":"Journal of Hydrologic Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Hydrograph; Impervious surface; Surface runoff; Runoff model; Environmental science; Hydrology (agriculture); Runoff curve number; Infiltration (HVAC); Storm; Computer science; Meteorology; Geology; Geotechnical engineering; Geography","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":[0.0002386206,0.0002944416,0.0004332999,0.0002896893,0.0002291105,0.0005321717,0.0008861388,0.0004275886,0.002271234],"category_scores_gemma":[0.0005654834,0.0002301389,0.000444316,0.0004002137,0.0003255969,0.0007207652,0.0004447878,0.0005123834,0.0004096871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466392,"about_ca_system_score_gemma":0.0007985329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009693927,"about_ca_topic_score_gemma":0.00970321,"domain_scores_codex":[0.9998803,0.00002932482,0.000007284012,0.0000242124,0.00004377582,0.00001512051],"domain_scores_gemma":[0.9998636,0.00004589493,0.00001417547,0.00001428497,0.00004704275,0.00001490482],"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":[0.00002381567,0.00001877114,0.0005503544,0.00001394637,0.00000828106,0.00005608258,0.00002649166,0.9832678,0.002350407,0.006415322,0.0004541728,0.006814534],"study_design_scores_gemma":[0.000005252175,0.000003430151,0.00006824524,5.843869e-7,0.000001855415,0.000005596448,0.000002077124,0.9982684,0.0002058113,0.0005942141,0.0008425022,0.000001997672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07592914,0.0001291711,0.9151657,0.0002002492,0.00005634612,0.000106515,0.000439011,0.001686211,0.006287762],"genre_scores_gemma":[0.8368833,0.0003759355,0.1487502,0.0000519116,0.00005173106,0.0002744128,0.0007082372,0.0002406396,0.01266355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009693927,"threshold_uncertainty_score":0.01927501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171654063539811,"score_gpt":0.234760650622896,"score_spread":0.2175952442689149,"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."}}