{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001981302,0.0001537931,0.0001606201,0.00004237465,0.00009203943,0.00001735652,0.0002776613,0.0000834459,0.0006607266],"category_scores_gemma":[0.0002281456,0.00008481056,0.00004382867,0.0002321313,0.0002357049,0.0002565032,0.000206044,0.00005510217,0.0004119076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596981,"about_ca_system_score_gemma":0.000004721069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003899338,"about_ca_topic_score_gemma":0.00009158487,"domain_scores_codex":[0.9987882,0.00003585934,0.0001716192,0.0004250361,0.0001474731,0.0004317643],"domain_scores_gemma":[0.9994869,0.0002199232,0.00004380568,0.0001687912,0.000009299174,0.00007129707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004017725,0.0008097758,0.9277602,0.0001457726,0.00004409287,0.000045875,0.001096222,0.0006391263,0.03405945,0.000527581,0.02424239,0.0102277],"study_design_scores_gemma":[0.007496058,0.003482839,0.6316371,0.0001772915,0.0001363586,0.00002605435,0.0001064764,0.002554205,0.02668412,0.07396127,0.2517,0.002038213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853205,0.00005396749,0.00606037,0.001406963,0.00006549325,0.0008600159,0.00001089366,0.0001366284,0.006085162],"genre_scores_gemma":[0.997627,0.00001618809,0.0002472281,0.0003601354,0.00003414927,0.0005856384,0.000004169895,0.0000113406,0.001114161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2961231,"threshold_uncertainty_score":0.7234493,"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."}}