{"id":"W2321657640","doi":"10.14796/jwmm.r206-17","title":"SWMM Storage-Treatment for Analysis/Design of Extended-Detention Ponds","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm Water Management Model; Block (permutation group theory); Environmental science; Stormwater management; Detention basin; Water storage; Hydrology (agriculture); Civil engineering; Environmental engineering; Water resource management; Computer science; Engineering; Stormwater; Surface runoff; Mathematics; Geotechnical engineering; Ecology; Inlet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000409177,0.0004932868,0.000511322,0.0002305872,0.0004946353,0.0005789596,0.001160063,0.0004641148,0.004524588],"category_scores_gemma":[0.0006348693,0.0004921451,0.0006655568,0.0001906082,0.0002771623,0.0007022899,0.0006069121,0.0005854978,0.0005330726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008475843,"about_ca_system_score_gemma":0.00146605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00611281,"about_ca_topic_score_gemma":0.009784056,"domain_scores_codex":[0.9998246,0.00004361507,0.00001111754,0.00003353799,0.00006068968,0.00002654304],"domain_scores_gemma":[0.9997782,0.00007046685,0.00003102732,0.00003244025,0.00007592909,0.0000120135],"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":[0.00004791393,0.00003562988,0.0009686843,0.0000483886,0.00001064661,0.00002154067,0.0000232046,0.9724912,0.006244972,0.002324796,0.0004842771,0.01729867],"study_design_scores_gemma":[0.0000115983,0.00002837008,0.0002044281,0.000003484806,0.000004857253,0.000005558733,0.000006835965,0.993564,0.004009995,0.0008864329,0.001269928,0.000004453969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0962365,0.00005879997,0.8912491,0.0001158047,0.00003223067,0.0003128454,0.0006747399,0.00212028,0.009199647],"genre_scores_gemma":[0.7517475,0.0001139351,0.2385566,0.00005094607,0.000009596385,0.000648829,0.0005540934,0.0002573339,0.008061117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00611281,"threshold_uncertainty_score":0.01513624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378669835156074,"score_gpt":0.2546203273118929,"score_spread":0.2167533437962855,"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."}}