Technical paper on Toxicity Equivalency Factors for Marine Biotoxins Associated with Bivalve Molluscs
Bibliographic record
Abstract
World bivalve molluscs production (capture + aquaculture) has been increasing substantially in the last fifty years, going from nearly one million tonnes in 1950 to about 15 million tonnes in 2012. Being filter feeders, bivalves utilise natural plankton and detritus as feed and do not require artificial feeds. But this filter feeding nature is also the reason for the requirement of strict environmental hygiene to produce bivalves safe for human consumption. They tend to concentrate microorganisms, toxins and chemicals from the environment and therefore, their safety management requires stringent sanitary measures to ensure consumer protection. Following the request of Codex Committee on Fish and Fishery Products (CCFFP), FAO/WHO agreed to develop a technical document on the subject of Toxicity Equivalency Factors (TEFs) for marine biotoxins. This document is of high importance for food safety managers in member countries of both FAO and WHO.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.009 |
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".