{"id":"W2997447768","doi":"","title":"PROPER SIZING OF INFILTRATION TRENCHES & BIORETENTION CELLS FOR URBAN STORMWATER MANAGEMENT PURPOSES","year":2019,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioretention; Stormwater management; Low-impact development; Infiltration (HVAC); Stormwater; Environmental science; Sizing; Environmental engineering; Environmental planning; Surface runoff; Geography; Meteorology; Ecology; Chemistry","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":[0.0005849835,0.0006167099,0.0004521731,0.0008449845,0.0004305592,0.001131221,0.0008144046,0.000238866,0.002234637],"category_scores_gemma":[0.001382514,0.0002494522,0.0004257458,0.0008923443,0.0004016935,0.0006136649,0.0005866614,0.0002260965,0.0003608521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943563,"about_ca_system_score_gemma":0.0030211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02187773,"about_ca_topic_score_gemma":0.08408208,"domain_scores_codex":[0.9991911,0.0001251421,0.0000724137,0.00007322629,0.000419089,0.0001190602],"domain_scores_gemma":[0.9992692,0.0001674278,0.000199867,0.00006893533,0.0002637463,0.00003084434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002253563,0.0001588502,0.03625275,0.0004842717,0.00003619401,0.0003020274,0.0003630147,0.4960284,0.1061465,0.009066337,0.002497643,0.3484387],"study_design_scores_gemma":[0.0001019086,0.001124714,0.08263884,0.0001179097,0.0001143333,0.0004081891,0.001633691,0.68981,0.1883854,0.008310985,0.02722689,0.0001272307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.4456973,0.0002439208,0.5278587,0.0001436911,0.00003811378,0.001441331,0.0007423762,0.0008392376,0.02299525],"genre_scores_gemma":[0.7925351,0.0001441938,0.2036699,0.00001605232,0.000004966535,0.0002213614,0.0003254051,0.00005810582,0.003024898],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02187773,"threshold_uncertainty_score":0.04350078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015831078123736,"score_gpt":0.1815569974910235,"score_spread":0.1713986867097862,"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."}}