Silence of the clams: health status of Mya arenaria clams in the Saguenay–St. Lawrence Marine Park
Bibliographic record
Abstract
The cumulative effects of pollution of intertidal clam populations should be investigated to ensure the sustainable perennity of our resources. The purpose of this study was to examine the health status of intertidal clams and tissue levels of essential and non-essential elements at sites under anthropogenic stress. Clams were collected at two anthropized sites, a St. Lawrence Estuary (SLE) beluga high-residency area and reference site in the Saguenay–St. Lawrence Marine Park (Québec, Canada). Clam health status was determined by the condition factor (CF: wet weight/shell length ratio), growth index (GI: shell length/age), air survival time and weight loss index (WLI). Elemental analysis was also performed in soft tissues. The data revealed that clams from at least one of the harbor/marina sites had reduced CF, GI and WLI. Air survival time was not affected at the anthropized sites but was significantly higher at the St. Lawrence Estuary beluga high-residency area. The clams were contaminated by Ag, Al, Cd, Cu, Hg and V, with a decrease in essential cations (K, Ca, Mg) suggesting altered osmoregulation. Although the individual metals in tissues were not found at harmful concentrations based on reported data, the combined effects of non-essential elements could not be excluded. More research will be needed to better understand the cumulative effects of various stressors, such as low salinity, algal toxins and elemental composition, on clam health status.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".