The Biology of Invasive Alien Plants in Canada. 12.<i>Pueraria montana</i>var.<i>lobata</i>(Willd.) Sanjappa & Predeep
Bibliographic record
Abstract
Lindgren, C. J., Castro, K. L., Coiner, H. A., Nurse, R. E. and Darbyshire, S. J. 2013. The Biology of Invasive Alien Plants in Canada. 12. Pueraria montana var. lobata (Willd.) Sanjappa & Predeep. Can. J. Plant Sci. 93: 71–95. Kudzu, Pueraria montana var. lobata, is a perennial climbing vine known for its rapid and competitive growth. Introduced to North America and promoted at various times as a crop, an ornamental, and an erosion prevention tool, its negative impacts have been varied and severe in the United States. Dense populations overtop and smother crops and native vegetation, alter nitrogen cycles, and have the potential to affect air quality. Kudzu is winter-deciduous in North America with stems re-growing each season. In Canada, growth occurs from May until September, long enough for production of viable seed. Although widely believed to be intolerant of winter temperatures typical in eastern Canada, underground structures may be able to withstand temperatures as low as −30°C, and northward range expansion is predicted by climate change models. Dispersal in North America is primarily through intentional planting by humans, with clonal propagation and limited seed production and germination contributing to local population expansion. Only one population is known in Canada, near Leamington, Ontario. Once established, kudzu is difficult to eliminate or control without repeated actions. Efforts to prevent the movement and sale of kudzu in Canada, along with early detection and rapid response, monitoring, and education, offer potential strategies for control. Depending on the age, size and location of the population, herbicides, burning, mowing and grazing can be effective control measures.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".