Impacts Of Selenium Bioaccumulation To A Canadian Freshwater Sportfish Population Due To Mining Activity And An Economic Evaluation Of Three Bioreactor Selenium Treatments
Bibliographic record
Abstract
In the Elk Valley there is a well-documented case of Se pollution and the monetized damage to the westslope cutthroat trout (Oncorhynchus clarkii lewisi) population in the Elk River watershed was calculated. These results indicate the damage to be between ~$7.5 million and ~$10.5 million in the eight year period from 2006 to 2014. In this document three bioreactors designed to reduce Se were analysed in terms of capital and operation/maintenance costs, energy requirements to heat influent, and finally nutrient requirements to support biomass. These bioreactors are: Advanced Biological Metals removal® (ABMet®), the fluidized bed reactor (FBR), and finally the electro-biochemical reactor (EBR). The results indicate that utilizing full-scale EBR Se treatment has the potential to save ~$12 million in capital costs, ~$2.4 million in O&M costs, and an additional ~$2.36 million to ~$6.83 million in energy and nutrients alone in a ten year period.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".