10th Anniversary Review: when healthy food becomes polluted—implications for public health and dietary advice
Bibliographic record
Abstract
Divergent scientific and regulatory agency perspectives about contaminants in fish have lead to contradictory advice and confusing public messages about its consumption. The evidence for the protective effect of eating fish on cardiovascular outcomes is considered to be convincing. It has long been attributed to n-3 unsaturated long-chain fatty acids. Persistent organic pollutants (POPs) are compounds that are lipid soluble and accumulate in the aquatic food chain. Despite a considerable decrease in their levels in fish during the last two decades, there is still significant concern about potential negative health effects and an ongoing debate exists about what type of fish consumption advisories are most suitable. In this review our aim is twofold, namely to explore: (1) the underlying causes for the conflicting recommendations by discussing the strengths and limitations of risk assessment and epidemiological evidence; and (2), the role of risk management in formulating public dietary advisories. It is our view that the latter advice is most appropriately formulated in the context of risk management, of which both epidemiologic evidence and risk assessment are essential components.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".