Влияние биологических инвазий на разнообразие и функционирование сообществ зоопланктона в эстуарных экосистемах Балтийского моря (обзор)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Long-term study of zooplankton in the Neva Estuary ecosystem, one of the largest urbanized gulfs of the Baltic Sea, revealed the actuality of biodiversity investigations related to the increasing role of unintentional introduction of invasive species of planktonic organisms into the aquatic ecosystems. Peculiarities of plankton communities in the Baltic estuaries were analyzed in relation to the problem of biological pollution and present-day viewpoint on the paradox of brackish waters. It was shown that during 10 years since planktonic predator Cercopagis pengoi successfully invaded the eastern Gulf of Finland these crustaceans have not caused significant inhibitory effects on the high species diversity in this region of the Baltic Sea. The original method for the evaluation of the invaders' impact on zooplankton community elaborated by the author was verified using the data from Lake Ontario (North America). The study demonstrated the much stronger impact of Cercopagis on the aboriginal zooplankton community in Lake Ontario compared to the Neva Estuary ecosystem. Results of this investigation witness for the complexity of trophic interactions in the pelagic communities and specificity of their transformations under the impact of invasive species in aquatic ecosystems of different types.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.060 | 0.028 |
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 it