Genetic variability of farmed and free-living populations of red foxes (Vulpes vulpes)
Bibliographic record
Abstract
Abstract This study was designed to determine the degree of genetic distinctiveness between farmed and wild foxes (Vulpes vulpes). Analysis of polymorphism in 16 microsatellite sequences led to the conclusion that red foxes raised on Polish farms and wild foxes living in Poland are two groups of genetically distinct animals. Farmed Polish foxes are genetically more similar to the population of wild animals from North America than they are to the free-living population in Poland, as confirmed by the fact that the farmed animals are descended from animals raised in Canada. The small genetic distance between wild Canadian foxes (indicated as the progenitor of farmed Polish foxes) and farmed Polish foxes possibly suggests that the differences between the farmed and wild Polish populations may result from the fact that Canadian and Polish foxes took separate evolutionary paths .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 teacher head, 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".