DFO audits of sea lice at finfish aquaculture sites
Bibliographic record
Abstract
Fisheries and Oceans Canada’s (DFO’s) conditions of licence for marine finfish aquaculture contain monitoring and intervention requirements to minimize the potential exposure of wild and farmed fish to sea lice.Licence holders must submit a Health Management Plan to DFO that includes sea lice management. The results of industry’s sea lice assessments of Atlantic salmon are provided to DFO monthly and posted to this website quarterly. DFO biologists and veterinarians conduct regular assessments throughout the year to verify the accuracy of licence holders’ procedures and reporting.The DFO Sea Lice Audit Report shows the results of DFO’s random quarterly lice audits, which coincide with one of the licence holder's numerous scheduled counts. To assure quality, farm staff count lice on 50 per cent of the selected fish and DFO staff count lice on the other half. Terminology in English and French is available on Open Canada https://open.canada.ca/data/en/dataset/5cfd93bd-b3ee-4b0b-8816-33d388f6811d
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.015 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.023 |
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".