Exponential Smoothing Method of Base Flow Separation and Its Impact on Continuous Loss Estimates
Bibliographic record
Abstract
A surface flow constructed wetland was used for the treatment of landfill leachate and industrial park runoff. The wetland consisted of seven cells and was designed as a kidney shape to facilitate high retention time. The water quality was assessed for iron, manganese, phosphorus (orthophosphate), pH, dissolved oxygen (DO), nitrogen (ammonia, nitrate, nitrite and TKN), chemical oxygen demand (COD), total suspended solids (TSS) and total dissolved solids (TDS). The water quality parameters were measured at inlet, cell 1 (unvegetated area), cell 2, cell 3 and outlet to determine progress in treatment efficiency as water flow through the wetland. The reductions in iron, manganese, ammonia and TKN were 24.2 %, 6.7 %, 37 % and 5.9 %, respectively. The concentrations of nitrite, nitrate and DO were within the Canadian guidelines for the protection of aquatic animals. Increases in COD, TSS and TDS concentrations of 11.8 %, 5.2 % and 7.5 %, were observed at outlet mainly due to immature vegetation and underdeveloped biodiversity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".