{"id":"W1598710845","doi":"10.14796/jwmm.r246-12","title":"Evaluation of the Thermal Impact of Stormwater Management Ponds","year":2013,"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":"University of Guelph","funders":"Albert Einstein College of Medicine, Yeshiva University","keywords":"Environmental science; Surface runoff; Stormwater management; Stormwater; Thermal pollution; Urban runoff; Water resource management; Low-impact development; Pollution; Hydrology (agriculture); Environmental engineering; Environmental planning; Engineering; Ecology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007459685,0.0005582969,0.0004095048,0.0003945262,0.0004534204,0.0006272562,0.0005775507,0.0005100585,0.003235589],"category_scores_gemma":[0.001314703,0.0002181528,0.0004606986,0.000372474,0.0003767401,0.0006670042,0.0003904107,0.0003723233,0.000289323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321093,"about_ca_system_score_gemma":0.0007689258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007204162,"about_ca_topic_score_gemma":0.01286605,"domain_scores_codex":[0.9994755,0.0001093675,0.00002063695,0.0000587791,0.0002478037,0.00008785466],"domain_scores_gemma":[0.9991092,0.0002933785,0.00007761074,0.00007676143,0.0003407218,0.0001021917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003972246,0.002110664,0.06035313,0.0004689401,0.0001511644,0.0003527957,0.0001820878,0.6642667,0.1975896,0.0009687011,0.001132985,0.06845096],"study_design_scores_gemma":[0.0002116785,0.00855235,0.07845907,0.00002558848,0.0001888516,0.00009124467,0.0004533716,0.7568564,0.1526752,0.0007024609,0.001731924,0.00005189138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950072,0.00004830445,0.002467757,0.00002130486,0.00001018929,0.00006438256,0.0001851038,0.00007413371,0.002121594],"genre_scores_gemma":[0.9977088,0.00004097549,0.001244513,0.000004035428,0.000001516331,0.00001628826,0.00008669127,0.000007830727,0.0008892425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007204162,"threshold_uncertainty_score":0.01432449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769262882042054,"score_gpt":0.2516746423068147,"score_spread":0.2239820134863942,"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."}}