MétaCan
Menu
Back to cohort
Record W7135560183

Invasive plants in selected SCI of Karlovy Vary region

2016· dissertation· cs· W7135560183 on OpenAlexaboutno aff
Nikola Bernasová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2016
Typedissertation
Languagecs
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsnot available
Fundersnot available
KeywordsInvasive speciesArable landProtected areaIntroduced speciesBalsamPlant species
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.011
GPT teacher head0.226
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicAllelopathy and phytotoxic interactionsFrench-language works237,207