The Biology of Canadian Weeds. 152. Artemisia biennis Willd.
Bibliographic record
Abstract
Kegode, G. O. and Darbyshire, S. J. 2013. The Biology of Canadian Weeds. 152. Artemisia biennis Willd. Can. J. Plant Sci. 93: 643-658. Artemisia biennis Willd. (biennial wormwood, armoise bisannuelle) is an annual or biennial species native to western North America. Closely related species occur in Eurasia and South America which are sometimes considered conspecific. Spreading elsewhere in North America occurred along transportation corridors soon after European settlement and it has since been introduced to other parts of the world. As an economically important weed its impact appears to be increasing, possibly due in part to reduced tillage practices. The most significantly affected regions are the Prairie Provinces of Canada and the northern Great Plains in the United States. Many cereal, oilseed, pulse, vegetable and forage crops are affected where it can reduce yields at relatively low densities. A wide range of soil and moisture conditions are tolerated and it can form dense populations in disturbed habitats where its competitive ability is enhanced by prolific seed production, indeterminate seedling emergence and allelopathic effects. Although tolerant of a number of herbicides in different classes, good control can be achieved through careful timing and split application strategies.
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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 | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".