Patterns of paralytic shellfish toxicity in the St. Lawrence region in relationship with the abundance and distribution of Alexandrium tamarense
Bibliographic record
Abstract
Shellfish toxin data from 11 years and Alexandrium tamarense abundance during 6 of those years are analysed. Comparison of PSP toxicity in Mytilus edulis with PSP toxicity in Mya arenaria shows a significant correlation (r2=0.61), with M. edulis being five times more toxic. The results support using M. edulis as a sentinel species for shellfish toxicity in the St. Lawrence region. High interannual variability was found in the PSP and A. tamarense data, but no trends were manifest. Correlation analysis revealed clearly defined geographical station groups. These groups were characterised by seasonal distributions and outbreak times, and were associated with the surface seawater circulation. The results indicate blooms spreading from the open Gulf, upstream toward the Estuary. Since the spring bloom also spreads upstream, we hypothesise that the A. tamarense bloom is just one of the steps in the traditional phytoplankton succession diatoms-dinoflagellates-small flagellates, which is controlled by the classic oceanographic processes of nutrient depletion and water column stratification. A. tamarense distribution over the entire sampled area was similar to the PSP toxicity in M. edulis. In 1993, 59% of PSP variability was explained by A. tamarense. Furthermore, mussel toxin rises with increasing A. tamarense concentration. Shellfish contamination starts as soon as A. tamarense is present in the water. In addition, detoxification starts when A. tamarense decreases below the level of detection. However, the most important finding of this study is that only 1000 A. tamarense cells per litre are sufficient to raise the toxin in the mussels to the level (80 µg STX eq/100 g tissue) at which the closure of shellfish harvesting activities is obligatory.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".