Evaluating temperature effects on the efficacy of ballast water treatments to prevent non-indigenous introductions into the Canadian Arctic
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author. Ballast water is the primary vector for the transfer of non-indigenous species (NIS) among freshwater and marine ecosystems. Current strategies to reduce biological invasions are not 100% effective and additional measures are being developed to minimize the number of viable individuals discharged in ballast water. One of these measures is the use of ballast water treatment on board ships, however, effectiveness needs to be tested at the extreme edges of operational conditions (i.e., very low temperatures). We examine the effectiveness of ballast water treatments for eliminating plankton populations at different temperatures. Preliminary results showed that both treatments (chlorination and UV) have more than 60% efficacy eliminating two taxonomic groups (zooplankton and phytoplankton) at 2°C and 20 °C.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".