{"id":"W2289326657","doi":"10.1002/hyp.10839","title":"Effective impervious area for runoff in urban watersheds","year":2016,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Wollongong; Hamline University","keywords":"Impervious surface; Environmental science; Surface runoff; Watershed; Hydrology (agriculture); Urban runoff; Urban area; Runoff curve number; Water quality; Low-impact development; Stormwater; Stormwater management; Geology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005850577,0.0001889628,0.0002035641,0.001515446,0.0001369976,0.0004063774,0.0002180975,0.000103003,0.0008738168],"category_scores_gemma":[0.001881499,0.0001645023,0.0003743295,0.001229849,0.0002196206,0.0003121605,0.0002665549,0.0001030166,0.0001573293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003480742,"about_ca_system_score_gemma":0.0002208423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005915142,"about_ca_topic_score_gemma":0.009396176,"domain_scores_codex":[0.9997302,0.00005953003,0.00001876009,0.00007476806,0.00008985663,0.00002693268],"domain_scores_gemma":[0.999293,0.0003389719,0.0001621406,0.00005092166,0.0001252795,0.00002962655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001762809,0.00007336907,0.9049537,0.00006106502,0.000126816,0.0001295972,0.0001789571,0.04551599,0.007092891,0.0004255984,0.0002777203,0.04098815],"study_design_scores_gemma":[0.000008114909,0.00006537945,0.8061706,0.000007334482,0.00002418795,0.00009143406,0.0002180841,0.1903277,0.001927151,0.0006925478,0.0004522455,0.00001518608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949402,0.00004002057,0.004300862,0.000009057161,0.000001309496,0.00001125456,0.0002456701,0.00005852264,0.0003931827],"genre_scores_gemma":[0.9986463,0.000008626384,0.00103125,0.000001598535,9.261059e-7,0.000006745147,0.0002204034,0.000005055241,0.00007902367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005915142,"threshold_uncertainty_score":0.01176143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411621458444677,"score_gpt":0.2178075133062587,"score_spread":0.2036912987218119,"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."}}