Avian thyroid development in chemically contaminated environments: is there evidence of alterations in thyroid function and development?
Bibliographic record
Abstract
Poor reproductive success, developmental abnormalities, and behavioral alterations in fish-eating birds in some Great Lakes areas have led to more than 35 years of toxicological studies and residue monitoring of herring gull (Larus argentatus) populations. Polyhalogenated aromatic hydrocarbons (PHAHs), especially polychlorinated biphenyls (PCBs), are widespread contaminants in the Great Lakes ecosystem. The introduction of regulations and elimination of point sources since the 1970s have resulted in decreased PHAHs in fish-eating bird eggs and tissues. PCB exposure is associated with thyroid disruption (hypothyroidism) in mammals, but much less is known of PCB effects on avian thyroid function. Our 1998-2000 studies of herring gulls from the Great Lakes show that both pipping embryos and prefledglings from highly contaminated sites have marked depletion of thyroid gland hormone stores compared with similarly aged gulls at the reference sites. However, organismal hypothyroidism was not apparent in many embryo and chick collections where severe depletion of thyroid gland hormone was observed. Adults, sampled at two high PCB sites and a low PCB site in the Great Lakes and the maritime reference colony in 2001, showed no differences in organismal thyroid status across sites, but gulls from the high sites had enlarged thyroid glands and depressed thyroid gland hormone stores. Here we discuss the evidence that ecological exposure to PHAHs are responsible for thyroid deficiencies in gulls and that during development these deficiencies lead to developmental abnormalities in young gulls from highly contaminated Great Lakes sites.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".