A study on recreational boating in Atlantic Canada as a potential vector for the introduction and spread of non-native biofouling species
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author. Information on the role of recreational boating in the introduction and spread of non-native biofouling species was a critical knowledge gap identified during a recent Canadian national risk assessment on ship-mediated introductions of non-native species. To provide information on this vector, a study was conducted by Fisheries and Oceans Canada (DFO) in Atlantic coastal waters to provide information on recreational boat usage, maintenance and movement. In addition to surveys of boaters, selected high risk harbours were surveyed using a combination of underwater video, SCUBA divers and settling plates to determine the biofouling and presence of non-native species on manmade structures and boat hulls. This information is then augmented by the (DFO) biofouling monitoring program data in Atlantic Canada to provide a broader view of the introduction and spread of invasive biofouling organisms in the region over time. Information obtained from this study will be used to determine best practices for recreational boat management and to aid in the prevention of the spread of biofouling non-native species on man-made harbour infrastructures by recreational boating vessels.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".