A preliminary genetic structure study of the non-native weed, common tansy (<i>Tanacetum vulgare</i>)
Bibliographic record
Abstract
Clasen, B. M., Moss, N. G., Chandler, M. A. and Smith, A. G. 2011. A preliminary genetic structure study of the non-native weed, common tansy (Tanacetum vulgare). Can. J. Plant Sci. 91: 717–723. Common tansy is an herbaceous perennial member of the Asteraceae and is considered a weed in North America. Common tansy was introduced deliberately for use as a funerary herb, medicine, preservative, and animal and insect repellent. It is known to escape cultivation and invade disturbed areas, spreading both sexually and asexually. This paper reports a preliminary analysis of the genetic structure of 10 invasive common tansy populations in Minnesota and Montana, USA, and Alberta, Canada. Ninety polymorphic loci were found using six inter simple sequence repeat (ISSR) primers used to amplify DNA from 40 individuals from 10 discrete populations. The diversity within and among populations was assessed using the Dice coefficient of similarity and AMOVA. The AMOVA showed that diversity within populations was generally high and that there was relatively small variation among populations. An unweighted pair-group with arithmetic mean (UPGMA) dendrogram was constructed based on the distance between populations, and demonstrated substantial and distinct clustering of a population from Ramsey County, Minnesota. A principal coordinates analysis clustered all individuals from Ramsey County distinctly from other individuals, indicating a possible limited gene flow among this population and the other populations sampled in this study. Understanding genetic diversity and the distribution of diversity within and among populations may help predict the potential for successful management of common tansy populations in North America.
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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 | 0.001 | 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) | 0.000 | 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 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".