{"id":"W2325393880","doi":"10.2166/wqrjc.2013.016","title":"Bioretention gardens for improved nutrient removal","year":2013,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Bioretention; Environmental science; Phosphorus; Stormwater; Environmental engineering; Nutrient; Nitrate; Clarifier; Effluent; Environmental chemistry; Chemistry; Surface runoff; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000136226,0.0003202051,0.0002902029,0.0001806915,0.0002105329,0.0004635688,0.0002739081,0.0003046926,0.0008237667],"category_scores_gemma":[0.0001182726,0.0001086588,0.0003916593,0.000191929,0.0001135299,0.0002642991,0.0003966342,0.0002833504,0.0002320266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182391,"about_ca_system_score_gemma":0.0002858532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143861,"about_ca_topic_score_gemma":0.005805831,"domain_scores_codex":[0.9998338,0.00001706302,0.0000135014,0.00004532875,0.00005989949,0.00003036986],"domain_scores_gemma":[0.9999074,0.0000149894,0.0000334035,0.000008165749,0.00001668866,0.00001935918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000489812,0.00006172677,0.0007262279,0.0000314484,0.000004328918,0.00003689637,0.0000288794,0.0001778347,0.9949034,0.00003090762,0.00004412432,0.003905269],"study_design_scores_gemma":[0.00001576314,0.0006457259,0.006712896,0.000007757139,0.000019981,0.0001460686,0.00009433975,0.001388924,0.9878845,0.00002732112,0.00304865,0.000008083398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938505,0.0001773987,0.004514768,0.00003635202,0.00001972669,0.00004787716,0.00009782582,0.00009378193,0.001161634],"genre_scores_gemma":[0.9785556,0.0003681973,0.01668428,0.00005448034,0.000009488116,0.00006143461,0.0003387224,0.00002974991,0.00389805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00143861,"threshold_uncertainty_score":0.002860487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118556631949091,"score_gpt":0.3672289809595753,"score_spread":0.2553733177646662,"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."}}