Investigating vectors for aquatic invasive species of tunicates in the Canadian shellfish aquaculture industry
Bibliographic record
Abstract
The potential spread of Didemnum vexillum through aquaculture transfers of Pacific oyster (Crassostrea gigas) was investigated on the Sunshine Coast and the West Coast of Vancouver Island, BC. Pacific oysters from infested areas are regularly transferred for processing to non-infested areas thereby posing a risk of spreading D. vexillum to new areas. This observational study used concepts of the Hazard Analysis Critical Control Point (HACCP) methodology to identify points (control processes, CPs) where the clusters of oysters received manipulations that could alter the amount of epibiont fouling, notably D. vexillum. Three control processes (CPs) were identified: 1) the harvesting procedure, 2) transportation from the harvesting area to the processing plant, and 3) shucking of the oysters and depositing fouled shells in non-infested waters. The percentage coverage of D. vexillum on oyster clusters was evaluated at each CP for product originating from two aquaculture sites, Lemmens Inlet and Okeover Inlet. The results from the assessment demonstrated a significant loss of fouling on C. gigas clusters at both sites from Post-Harvesting (CP1) to Post-Shucking (CP3).
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".