Distribution of native and introduced semiaquatic mammals in Sikhote-Alin
Bibliographic record
Abstract
Data on current habitat ranges of five species of semiaquatic mammals are given in the article. The data were collected in various parts of Sikhote-Alin in 2002–2012. Four of the species, American mink ( Neovison vison Schreb.), muskrat ( Ondatra zibethicus L.), Eurasian beaver ( Castor fiber L.), and Canadian beaver ( C. canadensis Kuhl), are introduced. A native species is the otter ( Lutra lutra L.). The stages of introduction and peculiarities of distribution of the semiaquatic species populations are described. The spatial distribution of the animals on the Obor and Durmin rivers selected as the model ones by us previously is analyzed (Oleinikov, 2007). The middle reaches of these rivers demonstrate the greatest variety of semiaquatic species, and their density is maximal in the lower reaches, which is mainly due to the muskrat. The spatial dissociation as a mechanism of alleviation of interspecific relationships is revealed.
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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 | 0.001 |
| 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) | 0.001 | 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".