Bibliographic record
Abstract
and moose (Alces alces) have occurred recently in Russia. Although the process of capturing and moving muskoxen was problematic in remote areas, the reintroduction of animals from Canada and the USA successfully restored this extirpated species, and the current population in northern Russia serves as a source for further transplants. European bison populations were stagnant and suffered from inbreeding in Russia prior to reintroduction of captive animals from throughout Europe. The popula-tion in Orlovskoye polesie National park has experienced population growth with improved genetic potential. Of concern is that reintroductions in other areas of Russia were unsuccessful and the global population of European bison is not improving. Moose from the penzhina River area in Russia were successfully reintroduced to the kamchatka peninsula where they were absent for>400 years. The population is growing and dispersing across the peninsula from the transplant sites, and is among the largest physically in Eurasia. ALCES VOL. 45: 35-42 (2009)
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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 | 0.000 | 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 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".