Bibliographic record
Abstract
In the area of interest, Protected Landscape Area (PLA) Slavkov Forest two locations were chosen where invasive plants populations were mapped. The field work focused on mapping the occurrence of giant hogweed, all species of knotweed, Canadian goldenrod, tall goldenrod and Himalayan balsam. The aim was to determine the invaded sites in the area of PLA Slavkov Forest. It was found that the mapped areas are most prone to giant hogweed. A considerable number of invaded sites have been chemically treated. In the studied area, Canadian goldenrod and tall goldenrod were present only in a small extent and Himalayan balsam was almost absent. No knotweed invaded locations were found. The invaded sites were most often observed in the vicinity of mesophilic meadows, urbanized area and arable land. This issue is dealt with in the Management plan for the protected landscape area Slavkov Forest, and in various projects aimed at mapping and disposal of invasive species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".