Long-term exposure of Atlantic cod (Gadus morhua) to components of produced water: condition, gonad maturation, and gene expression
Bibliographic record
Abstract
Effects related to offshore contamination have been observed in gadoid species in the North Sea, but uncertainties regarding exposure conditions have led to the need for environmentally relevant exposure studies. In the current study, Atlantic cod ( Gadus morhua ) were sampled at regular intervals during an 11-month continuous or pulsed water-borne exposure to a mixture of produced water components. There was variation in time to female maturation between and within treatment groups; although differences were not significant, there was a tendency towards delayed maturation in intermittently exposed females not seen in continuously exposed females. Physiological parameters such as condition factor, liver somatic index, gonadosomatic index, or hematocrit did not appear to be affected by the treatments. A range of toxicologically relevant genes were differentially expressed in the exposed fish, including AhR-responsive genes (CYP1A, UDP-GT) and genes relevant to immune function (complement C3, MHC 1, CYP27B), apoptosis (PERP), and oxidative stress (hepcidin, serotransferrin, glutathione peroxidase). Although powerful in their depiction of the complexity of cellular responses to environmental stressors, the use of molecular tools should be accompanied by biochemical and physiological endpoints, and results should be holistically interpreted in terms of individual health and function.
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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 | 0.000 | 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) | 0.001 | 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".