Reproductive success in wood bison (<i>Bison bison athabascae</i>) established using molecular techniques
Bibliographic record
Abstract
In this study, we used 21 microsatellite loci to establish the reproductive success of the wood bison (Bison bison athabascae) population at Elk Island National Park, Alberta, Canada. Wood bison are considered threatened in Canada, and this population is currently used to found new populations. Despite the low levels of genetic variation in this population, we were able to establish paternity in 253 and maternity in 295 of the 317 calves born in Elk Island National Park over the 4-year study period. Roughly 40% of the mature males were reproductively successful each year. Mature males produced a mean of 3.8 offspring over the study period, with a range of 024. Each year, approximately 5070% of the cows produced calves, with a mean of 2.7 over the study period. Multiple linear regressions were performed to determine the effects of age, mass, heterozygosity, prior success, and the year of conception on male and female reproductive success. Only mass and prior success were useful in predicting male reproductive success. Female reproductive success depended on age, mass, and prior success and was also affected by environmental differences between years. No evidence was found for inbreeding avoidance in wood bison.
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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 | 0.001 |
| 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".