Bibliographic record
Abstract
The thesis is focused on the occurence of invasive plants in the Protected Landscape Area (PLA) of Kokořínsko-Máchův kraj. Three invasive species - Canadian goldenrod (Solidago canadensis), Bohemian knotweed (Reynoutria x bohemica) and Himalayan Balsam (Impatiens glandulifera) were mapped in the southern part of the PLA. The aim of the research was to identify the distribution of these invasive plants and to create maps of their occurrence in the monitored area using ESRI ArcMap software. Part of the work was to determine the incidence of invasive species in Natura 2000 habitats and ecosystems, according to the data set of the Nature Conservation Agency of the Czech Republic (Layer of Natura 2000 habitats; Consolidated layer of ecosystems of the Czech Republic, Czech: KVES). Most invaded Natura 2000 habitats and KVES ecosystems were identified. From all three of the studied plants growing within the study area, Solidago canadensis occurred the most. From the resulting field research and ongoing expertise, show that most areas of invaded habitats by Solidago canadensis are athropogenically influenced - grassland, introduced shrub vegetation and urbanized areas. During mapping of the invaded habitats only a limited, eradicative management by SCI employees was found, although part of the surveyed area is located in the SCI Kokořínsko.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".