Chemical contaminants and biological indicators of mussel health during gametogenesis
Bibliographic record
Abstract
Mytilus edulis were collected intertidally from three locations in Halifax Harbor, Nova Scotia, on five occasions during spring and summer 2000. Bioindicators of health (lipid content), condition and gonad indices (CI and GI), and sex ratio, as well as vitellins, were compared with the bioaccumulation of polycyclic aromatic compounds (PACs) including polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), coprostanol, and metals. Twice as many male as female mussels were collected from a downtown site (M8) close to numerous raw sewage effluents and a naval dockyard. Males from M8 had a high lipid content, and females had a delayed production of vitellins. These mussels also displayed the highest levels of PACs, coprostanol, Ag, and Sn. Coprostanol and silver are sewage markers in sediments, and their presence in mussels confirms exposure to sewage effluents. Female mussels were more abundant in an area outside the industrialized part of the harbor that had higher marine traffic (M14); displayed higher levels of vitellins in gonads; had similar time trends for CI and GI; and had some similar metals compared with mussels from M8. The lowest variability in biomarkers was observed at a site in a mostly residential arm of the harbor (M12), which was expected to be more pristine based on an earlier investigation. Compared to mussels in M14, the mussels of M12 had the lowest condition indices and PCB concentrations and low but similar levels of lipids, PACs, and coprostanol. They also displayed the highest concentrations of Cd, Cu, Pb, and Hg, and females had the highest gonad indices early in the season.
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 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 | 0.000 |
| 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".