Development Of Invasive Species Canadian Goldenrod (Solidago Canadensis L.) In Vetka And Chechersk Districts Of Gomel Region
Bibliographic record
Abstract
Currently, invasive aggressive plant species represent an ecological threat to the natural complexes of Belarus, their stability and functioning. At present time, studying the issues related to the introducing of these species into natural communities is very important. The results of studying of the invasive species Canadian goldenrod showed that individuals were in the immature, virgin and generative states in the studied objects. Individuals of seed origin that reached a height of 8 to 12 cm. In the vegetative type of reproduction, they reached a height of 90–110 cm. The height of some generative individuals was 1.8 m, the diameter of the shoot varied from 0.3 to 0.8 cm. The length of the leaves in the upper formation was 4–7 cm, width 1.4–1.8 cm, interstices 0.7–1.9 cm. The invasive species Canadian goldenrod spreads rapidly due to active propagation both by seeds and vegetatively. Individuals quickly reach a generative state. They are characterized by many generative shoots that produce a huge number of seeds and thereby maintains the population's stability under natural conditions. There are individuals from the immature to the old generative states. In 2017, compared with 2016, there was an increase in individuals in populations from 0.4 to 14.3 individuals/m2. Research methods: population–ontogenetic, ecological–floristic, biometric.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".