{"id":"W1826867922","doi":"10.1139/l2012-111","title":"Bioretention cell efficacy in cold climates: Part 2 — water quality performance","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Bioretention; Environmental science; Effluent; Surface runoff; Water quality; Sediment; Environmental engineering; Cold climate; Stormwater; Biochemical oxygen demand; Hydrology (agriculture); Chemical oxygen demand; Geotechnical engineering; Ecology; Meteorology; Engineering; Geology; Sewage treatment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005785903,0.000667973,0.0007655027,0.0002490624,0.0005022668,0.000645924,0.0003245519,0.0005447325,0.00118715],"category_scores_gemma":[0.000591205,0.0001945034,0.0006333506,0.000342859,0.0002656704,0.0004294581,0.0006482002,0.0005597032,0.0002403661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315915,"about_ca_system_score_gemma":0.0004543101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007816492,"about_ca_topic_score_gemma":0.008303192,"domain_scores_codex":[0.9995582,0.00007514963,0.00006157299,0.00009436561,0.0001342944,0.00007639322],"domain_scores_gemma":[0.9995015,0.000107507,0.00009504094,0.00003824684,0.0001744107,0.00008327318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006210183,0.0002186534,0.002028918,0.00009436733,0.00002156005,0.00003354294,0.00008396374,0.0006527443,0.9931862,0.00001757607,0.00005004475,0.002991505],"study_design_scores_gemma":[0.00001757764,0.002539546,0.005396547,0.000005324621,0.00002825455,0.0000270913,0.00006416509,0.0004986267,0.9910061,0.000009610422,0.0003956998,0.00001140971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980294,0.0003272449,0.0007262697,0.00003455731,0.00001548699,0.00005566652,0.0002356749,0.00002468539,0.0005511275],"genre_scores_gemma":[0.9947383,0.0004908014,0.002051954,0.00006604102,0.00001245646,0.00009241989,0.0006753898,0.0000232505,0.001849449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007816492,"threshold_uncertainty_score":0.01554197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507504686020114,"score_gpt":0.1918762215187219,"score_spread":0.1768011746585207,"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."}}