Oil spill response planning in Pacific Canada: A tool for identifying vulnerable marine biota
Bibliographic record
Abstract
Oil spill response planning is crucial for a fast and effective response. During an oil spill, focused biological resources at risk information is required to inform and guide oil spill response. A significant challenge for the initial emergency response phase (0–24 h) is having a consistent and transparent way to quickly identify the marine species that are most vulnerable to the oil spill, while not being reliant on regional experts who may not be available at the time. To address this challenge, biologists at Fisheries and Oceans Canada developed an oil vulnerability framework that has been used to assess vulnerability to oil for species groups using a suite of criteria. In the framework, vulnerability is defined as the degree to which a species group is susceptible to, and unable to cope with, injury, damage, or harm, and is a function of exposure to oil; sensitivity to oil, and recovery potential. Species groups were scored against criteria under these categories to generate a total vulnerability score that has been used to rank the species groups from most to least vulnerable. The framework has been adapted for use in different regions of Canada, but here we describe an application for the Pacific region of Canada, and how environmental response experts are using the results for oil spill planning and response.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".