{"id":"W1536583794","doi":"10.14796/jwmm.r245-07","title":"Modeling Rain Garden LID Impacts on Sewer Overflows","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Combined sewer; Environmental science; Hydrology (agriculture); Storm; Water resource management; Storm Water Management Model; Stormwater; Environmental engineering; Meteorology; Geography; Engineering; Surface runoff; Geotechnical engineering; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001465632,0.0002845107,0.0002804252,0.0002829335,0.0002147247,0.0001041992,0.0004992622,0.00006424366,0.0009989813],"category_scores_gemma":[0.00001186941,0.0002023748,0.0002180817,0.0001384569,0.00003029541,0.001225385,0.0005527863,0.0002965951,0.0009605722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005193781,"about_ca_system_score_gemma":0.000003182807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000375951,"about_ca_topic_score_gemma":0.000005748943,"domain_scores_codex":[0.9971805,0.00008136004,0.0007078451,0.0002474404,0.0009222711,0.000860582],"domain_scores_gemma":[0.999148,0.000010421,0.0001406791,0.0003904859,0.00002588343,0.000284503],"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":[0.00006413287,0.0002044206,0.001140223,0.00002353173,0.0001424545,0.00002637944,0.001354517,0.9917692,0.0009760553,0.0001095823,0.0035313,0.0006582368],"study_design_scores_gemma":[0.00111447,0.0001427487,0.0002718031,0.000124799,0.0002646633,0.00002615758,0.0006014022,0.9845262,0.0005222642,0.001057337,0.0108711,0.0004770826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7994274,0.00008302278,0.1602319,0.0005966977,0.000799355,0.0003129957,0.000001478657,0.00005046634,0.0384967],"genre_scores_gemma":[0.9905822,0.00006367044,0.00571288,0.0005600798,0.0003715235,0.000006925727,0.000003833524,0.00004508382,0.002653862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1911547,"threshold_uncertainty_score":0.9999142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437046026474542,"score_gpt":0.2337125422256769,"score_spread":0.2093420819609315,"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."}}