{"id":"W3041272418","doi":"10.1201/9780429433986-31","title":"Analysis of Urban Drainage Simulations of an Immensely Urbanized Watershed using the Pcswmm Model","year":2019,"lang":"en","type":"book-chapter","venue":"Apple Academic Press eBooks","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental science; Drainage; Hydrology (agriculture); Water resource management; Geography; Geology; Computer science; Geotechnical engineering; Ecology; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003809993,0.0003443096,0.0007361845,0.0001655537,0.0001580099,0.000006970663,0.0007545819,0.0004416935,0.0001479378],"category_scores_gemma":[0.000008934706,0.0002584794,0.000250644,0.00003995095,0.0006651849,0.0001098594,0.0007448175,0.0005034866,0.000007821331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006587235,"about_ca_system_score_gemma":0.00001258284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003525372,"about_ca_topic_score_gemma":0.00003115848,"domain_scores_codex":[0.9980733,0.00006555789,0.0006339501,0.0005178981,0.0003949832,0.0003142921],"domain_scores_gemma":[0.9984835,0.0001259099,0.000577554,0.000740802,0.00001862015,0.00005362152],"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":[0.0001876955,0.00003699213,0.0008605619,0.00009783683,0.004500092,0.000004290648,0.009506133,0.9238199,0.009538991,0.04935752,0.001697216,0.000392776],"study_design_scores_gemma":[0.0008092779,0.00007309821,0.0001394781,0.00005261475,0.00824168,0.000001050376,0.00008708712,0.948457,0.002086974,0.01302545,0.02633956,0.0006867463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1041832,0.0003421761,0.006764608,0.0001348991,0.0001368861,0.002673942,0.0007353592,0.0001099649,0.8849189],"genre_scores_gemma":[0.8406919,0.00002706819,0.0002401585,0.0002226286,0.00002444057,0.00001291588,0.0001063881,0.00004127784,0.1586332],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7365087,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04071018680149545,"score_gpt":0.2633962651981187,"score_spread":0.2226860783966232,"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."}}