{"id":"W2953969759","doi":"10.1007/s11270-019-4197-7","title":"Street Tree Pits as Bioretention Units: Effects of Soil Organic Matter and Area Permeability on the Volume and Quality of Urban Runoff","year":2019,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"U.S. Environmental Protection Agency","keywords":"Bioretention; Surface runoff; Lawn; Environmental science; Stormwater; Hydrology (agriculture); Environmental engineering; Water quality; Permeability (electromagnetism); Chemistry; Geology; Geotechnical engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004904399,0.0001783837,0.000212948,0.00005607982,0.0001163973,0.00001579111,0.0001536698,0.00007874597,0.0005778571],"category_scores_gemma":[0.00003373478,0.0001153076,0.00004942798,0.0001785654,0.0004239644,0.0002511788,0.0002647186,0.0001006689,0.0003112761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328921,"about_ca_system_score_gemma":0.000006651526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228628,"about_ca_topic_score_gemma":0.0007229809,"domain_scores_codex":[0.9984919,0.0002472608,0.0003171413,0.0003602527,0.0003221434,0.0002613245],"domain_scores_gemma":[0.9992895,0.00004263638,0.0001284371,0.0004614918,0.00002045053,0.00005752045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000623036,0.0001410845,0.8240749,0.0001648446,0.00004107798,3.891303e-7,0.00146984,0.0001337871,0.1718446,0.0002417621,0.001422527,0.0004028459],"study_design_scores_gemma":[0.000509098,0.0002234076,0.955366,0.00004313466,0.00004827086,7.366968e-7,0.0001742015,0.0003981951,0.04251676,0.0004093594,0.0001621408,0.0001487299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970177,0.00002086875,0.00007073794,0.0008832928,0.0001060308,0.0004879573,0.00002199414,0.00002447714,0.001366988],"genre_scores_gemma":[0.9977568,0.000007427779,0.00001070746,0.0001930977,0.00001258551,0.00001380841,0.00001947098,0.00001388864,0.001972238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1312911,"threshold_uncertainty_score":0.632713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011447901369526,"score_gpt":0.1940689180931463,"score_spread":0.183954439079451,"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."}}