Testosterone concentrations and male genital organ morphology in Greenland sledge dogs ( <i>Canis familiaris</i> ) dietary exposed to organohalogen contaminants
Bibliographic record
Abstract
This study investigated whether low-level, long-term in utero and post-natal exposure to organohalogen pollutants disrupts male reproductive organ morphology and testosterone production in Greenland sledge dogs (Canis familiaris), as a model of Arctic top predators feeding on marine mammals. Six male dogs were followed for 1 year and testosterone concentrations, testes/baculum morphology and baculum bone mineral density (BMD) was determined. Three males were exposed to organohalogenated contaminants (OHCs) in utero through maternal dietary intake of minke whale blubber (Balaenoptera acutorostrata), with a post-weaning ∑OHC intake of 10.4–11.7 µg kg−1 day−1 resulting in an adipose tissue range of ∑OHC 4518–5729 ng (g lw)−1 after 1 year. Three control males were exposed to very low concentrations of OHCs through pork fat. No significant differences were seen in plasma testosterone concentrations, baculum weight, BMD, and testicular length in the six male dogs (control, n = 3 and exposed, n = 3) measured at 3, 5, 7, 9, and 12 months of age. Testicular weights were significantly lower in the exposed group (p = 0.015, n = 2). Although this study had a limited number of animals, it was observed that in utero and the following 12 months of chronic exposure to a complex mixture of contaminants in the form of naturally accumulated OHCs does not affects testosterone levels, but possibly affects testicular weights in sledge dogs.
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 | 0.000 | 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".