{"id":"W2601605797","doi":"10.14796/jwmm.r228-18","title":"Representation of Non-Directly Connected Impervious Area in SWMM Runoff Modeling","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Impervious surface; Hydrology (agriculture); Representation (politics); Environmental science; Storm Water Management Model; Engineering; Geotechnical engineering; Stormwater; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005850093,0.0001670711,0.0003754457,0.0002887015,0.0001289864,0.00001084232,0.0002893493,0.0000534541,0.0001277459],"category_scores_gemma":[0.00001200123,0.0001246581,0.0001226429,0.0002362883,0.00006334698,0.0004405839,0.0003412428,0.0001673023,0.0000197116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009705706,"about_ca_system_score_gemma":0.000002828201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002104276,"about_ca_topic_score_gemma":0.00002746364,"domain_scores_codex":[0.998179,0.00006464705,0.0007944644,0.0002376925,0.0003941138,0.0003300895],"domain_scores_gemma":[0.9995239,0.00001525813,0.0001782971,0.0001993257,0.00003391152,0.00004932738],"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":[0.0001264901,0.000105992,0.01148337,0.00002788646,0.0001185633,0.0001907306,0.002696451,0.9809042,0.003795112,0.000007135652,0.0001659048,0.0003781515],"study_design_scores_gemma":[0.001220354,0.0000874907,0.001162329,0.00006679405,0.00008194718,0.00002463651,0.0005436452,0.9923571,0.00274069,0.001519947,0.00003013237,0.00016498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473335,0.00004251324,0.0478867,0.0003390344,0.0001503253,0.0002013832,4.819445e-7,0.00001319903,0.00403283],"genre_scores_gemma":[0.9962953,0.0004983471,0.002869546,0.0001200053,0.0000292361,0.000006963019,0.000003912455,0.000014496,0.0001621364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04896182,"threshold_uncertainty_score":0.5083411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683075662268087,"score_gpt":0.2379959867340555,"score_spread":0.2111652301113746,"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."}}