{"id":"W2886920301","doi":"10.1061/9780784481783.010","title":"Spatial and Temporal Analysis of Hydraulic Conductivity, Snow Depth, and Soil Properties of a Bioretention System","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Toronto","keywords":"Bioretention; Hydraulic conductivity; Environmental science; Infiltration (HVAC); Snow; Storm; Evapotranspiration; Water content; Hydrology (agriculture); Drainage; Winter storm; Soil science; Soil water; Surface runoff; Stormwater; Geotechnical engineering; Geology; Meteorology; Geomorphology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00009558567,0.0001459886,0.0001918971,0.0006168599,0.0005496117,0.0003993246,0.0002780153,0.0001558887,0.0003661456],"category_scores_gemma":[0.0002739216,0.0001002642,0.0001652172,0.000851244,0.0003050062,0.0001563815,0.0001969135,0.0001222534,0.00009312728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002194901,"about_ca_system_score_gemma":0.001122068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4416829,"about_ca_topic_score_gemma":0.5642617,"domain_scores_codex":[0.9998937,0.000005277197,0.000004782109,0.00003077057,0.00003701431,0.00002843938],"domain_scores_gemma":[0.9997236,0.00003065197,0.00006471243,0.00001264101,0.0001289103,0.00003946281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001300547,0.00006726004,0.9527227,0.00003040673,0.00003465683,0.0004704706,0.0006790313,0.00478378,0.03002149,0.00009079773,0.000329583,0.01063969],"study_design_scores_gemma":[0.00000156257,0.00003098638,0.9934942,0.000002120424,0.000009702192,0.0000406638,0.0004900697,0.004456246,0.001246706,0.00001176218,0.0002117268,0.000004156549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992542,0.00001152598,0.0001194945,0.000005311521,4.615748e-7,0.000004028802,0.0002132417,0.000008412503,0.0003833176],"genre_scores_gemma":[0.9991599,0.00001456534,0.0001609668,0.000001917928,4.317102e-7,0.000004255642,0.0003317143,0.000001232,0.0003250469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4416829,"threshold_uncertainty_score":0.8782241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483771546796791,"score_gpt":0.2113739293916038,"score_spread":0.1865362139236358,"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."}}