Bibliographic record
Abstract
Canada Thistle (Cirsium arvense L.) is a perennial, deep-rooted, herbal weed from the family Asteraceae, reproducing generative and vegetative. It belongs to the very important weeds, it is ranked among the ten most noxious weeds of the world. It became an extremely important weed especially for its ability to colonize arable land and high reproductive and competitive ability. The aim of this work is to create a comprehensive information on the biological attributes of Canada thistle, that are important for its reproduction and survival at the site. Furthermore, to describe and analyze the effective ways of its management, which are currently used. Literature review deals with biological characteristics of Canada thistle. It describes the importance and harmfulness, morphology, reproduction and dissemination of Canada thistle. Further it discloses the methods of direct and indirect regulation. In the research section dynamics of stems creation was described and the regeneration ability of root fragments of various lengths of Canada thistle, placed in different soil depths was examined. The assumptions of the experiment was, that regeneration of Canada thistle can be influenced both the length of root fragments and the burial depth. Length of the root fragments significantly affected regeneration, it had an impact on all five observed characteristics: number of new plants (p<0.001), number of shoos (p=0.046), weight of aboveground (p=0.016) and root (p<0.001) biomass and length of the newly formed root system (p<0.001). The influence of the burial depth has significant effect on the number of plants (p=0.038), number of stems (p=0.001) and weight root biomass (p=0.045). One receptacle has created an average of 121.5 g of biomass. Most of the total biomass produced 8 cm long root fragments (160.1 g). Plants arising from the shortest fragments created 115.1 g total biomass.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".