Assessing metal mine effects using benthic invertebrates for Canada’s Environmental Effects
Bibliographic record
Abstract
from the Fisheries Act (R.S., c. F-14, s.1) under which the effects of mine efflu-ent on fish and fish habitat (i.e., benthic invertebrate communities) is deter-mined by Environmental Effects Monitoring (EEM) studies. The Metal Mining EEM (MM EEM) program proceeds in a tiered manner, commencing with deter-mining whether an effect is present and continuing with determining extent, magnitude and cause of the effect. The benthic invertebrate monitoring com-ponent of the MM EEM program includes consideration of study design ele-ments such as confounding factors, monitoring frequency, statistical study design, appropriate community endpoints and standardized approaches to site descriptions, field and laboratory methods and data interpretation. We present the approaches and rationale recently adopted for the benthic component of Canada’s Metal Mining EEM program. A primary objective of this program was to outline a consistent national program that was scientifically defensible and that would produce the necessary information to evaluate the effectiveness of current pollution regulations.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".