Ecological analysis of the flora of the Kremenets Mountains National Nature Park (on the example of the mountains Divochi Skeli, Strakhova, Masliatyn, Chercha, Zamkova, Bozha)
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
One of the elements that ensure the sustainability of the environment is the vegetation cover. The vegetation cover contributes to the balanced functioning of ecosystems. It is the national parks rich in phytodiversity that attract the attention of scientists. The article presents an ecological analysis of the flora of the Kremenets Mountains National Park. The research was carried out in the areas of the mountains Divochi Skeli, Strakhova, Masliatyn, Chercha, Zamkova, Bozha. 10 florocoenotypes were identified in the study areas. The most numerous is the nemoral forest coenotype. The flora was analyzed for abiotic factors such as light, temperature, humidity, soil. It is these indicators that have an important impact on the formation of vegetation cover and the life processes of plants. It was found that facultative heliophytes, mesothermal plants, mesophytes, and mesotrophs predominate in the study areas. The vegetation cover has clear forest-steppe features. The classification of life forms of plants is given. Relicts and endemics are confined to steppe and calcepetrophilic areas. Flora synanthropization is observed on the study areas.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it