Canada’s framework for assessing the pathogenicity of infectious agents within fisheries and aquaculture
Bibliographic record
Abstract
The management of infectious agents within Canadian fisheries and aquaculture relies on Fisheries and Oceans, Canada (DFO) to assess the pathogenicity of infectious agents. Limitations and issues of scientific accuracy within the “Disease Agent Assessment form” for Piscine orthoreovirus (PRV) and Tenacibaculum maritimum illustrate how, in certain cases, the regulation of pathogens can fail to be evidence based and meet international scientific standards. Shortcomings in the assessment’s content resulted in DFO concluding that T. maritimum is not “likely to cause disease... in wild fish populations” and that Piscine orthoreovirus is not an “infectious disease agent”, despite reliable evidence suggesting the opposite. Urgent and comprehensive reforms are needed to enhance transparency and incorporate independent and external review into DFO’s disease assessment process. These steps are essential to ensuring that internal science advice effectively informs the management of infectious diseases and associated risk to fisheries.
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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 | 0.095 | 0.133 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.025 | 0.016 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.024 | 0.006 |
| Open science | 0.012 | 0.008 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".