The biology of Canadian weeds. 118. <i>Artemisia vulgaris</i> L.
Bibliographic record
Abstract
Artemisia vulgaris L. (mugwort) is an introduced rhizomatous perennial found primarily along roadsides, in waste areas, and in non-containerized nursery crops in eastern regions of Canada and the United States. Artemisia vulgaris is rapidly spreading throughout the Northern Hemisphere, and is currently found in nine Canadian provinces, as well as half of the states in the United States. Historically, A. vulgaris has been used as an herbal remedy and for flavouring beer, but recently has been identified as a primary pest of nurseries and urban landscapes, largely because of its ability to propagate easily from small rhizome fragments, and because of ineffective control strategies. The recent expansion of the nursery/landscape sector has accelerated the spread of A. vulgaris into turfgrass and landscape settings throughout the Northern Hemisphere, but especially westward towards the Pacific Coast. With few effective strategies for control, this aggressive weed has rapidly colonized new areas, often forming dense monospecific stands. Not surprisingly, species diversity of native flora in these habitats has declined following A. vulgaris colonization. The mechanisms of interference (e.g., allelopathy and competition) and current strategies for the control of A. vulgaris are discussed. Key words: Mugwort, ARTVU, Artemisia vulgaris, Asteraceae, Compositae, weed biology
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".