Bibliographic record
Abstract
This thesis focuses on the issue of invasive plant species around the Stropnice Special Area of Conservation located in the region of Třeboň. The aim of this thesis was to map following invasive plant species: Canadian goldenrod (Solidago canadensis), Giant goldenrod (Solidago gigantea), Japanese knotweed (Reynoutria japonica), Sakhalin knotweed (Reynoutria sachalinensis), Himalayan balsam (Impatiens glandulifera) and Giant hogweed (Heracleum mantegazzianum). The locations of the above-mentioned species were mapped using GPS. The data were then digitized and map outputs were created using the ArcGIS 10.2.2 program. These outputs identified the expansion of the invasive plant species. The results showed that giant hogweed is not located in the mapped area, but the other mapped invasive plant species were found there. These species most often invaded the biotope of mesic Arrhenatherum meadows (T1.1), followed by tall-sedge beds (M1.7) and anthropogenic areas with sporadic vegetation outside human settlements (X6). The problem of invasive plant species can be solved by their removal and by educating the general public about the risks these plants pose.
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.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".