{"id":"W2362828937","doi":"","title":"Efficiency Evaluation of Stormwater BMPs in a Residential Quarter","year":2007,"lang":"en","type":"article","venue":"China Water & Wastewater","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stormwater; Surface runoff; Stormwater management; Drainage; Environmental science; Drainage system (geomorphology); Quarter (Canadian coin); Detention basin; Residential area; Landscaping; Environmental engineering; Civil engineering; Water resource management; Engineering; Geography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122434,0.0003119147,0.0006222859,0.0005777777,0.0003381257,0.0005714309,0.0004706205,0.0003808999,0.001077496],"category_scores_gemma":[0.001757737,0.0002590819,0.0004028098,0.0007496296,0.0003035314,0.0005948296,0.0003742096,0.0001565956,0.0001099548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359884,"about_ca_system_score_gemma":0.0009737186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007125,"about_ca_topic_score_gemma":0.01639097,"domain_scores_codex":[0.9994465,0.000193937,0.0000247767,0.00006887546,0.000176784,0.00008918035],"domain_scores_gemma":[0.9992174,0.0001971784,0.0001108518,0.0001292181,0.0002906583,0.00005461907],"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":[0.0006284683,0.0003975252,0.04574928,0.0001367157,0.00006942979,0.000168237,0.0001512661,0.8549628,0.03937411,0.001635043,0.0006182347,0.05610876],"study_design_scores_gemma":[0.00002901359,0.0004478706,0.01673139,0.000003822691,0.00004118161,0.00002540437,0.000189708,0.9553869,0.02621492,0.0003527297,0.0005632658,0.00001384826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893239,0.00003408411,0.008845009,0.00002402076,0.000003234702,0.00002458667,0.00007245941,0.0001196436,0.001553109],"genre_scores_gemma":[0.9972644,0.00002309963,0.002304798,0.000002238572,3.92016e-7,0.000006764589,0.00003399991,0.00000741481,0.0003569893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02007125,"threshold_uncertainty_score":0.03990883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313110043804385,"score_gpt":0.2434058436996196,"score_spread":0.2302747432615757,"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."}}