The Biology of Canadian Weeds: 160. <i>Poa pratensis</i> L.
Bibliographic record
Abstract
Kentucky bluegrass ( Poa pratensis L.) is a perennial, cool-season grass that is widespread across all provinces and territories and first mentioned as an invasive species in 1879. It is represented in Canada by six subspecies, three of which are native, two introduced, and one native and introduced. As a group, the subspecies are found across a wide range of habitat types, including prairie grasslands, woodlands, tundra, and disturbed sites. The introduced subspecies have been intensively used in forage and turf breeding and production. The most invasive subspecies, Poa pratensis ssp. angustifolia, is native to temperate Eurasia and was introduced to North America as a forage and cover crop. Invasions by Kentucky bluegrass result in fewer and less abundant native grass and forb species, reducing plant diversity in native prairie grasslands, and creating cascading negative effects on the ecosystem goods and services provided by these systems. Rhizomatous growth and its ability to reproduce asexually through aposporous apomixis likely enhance Kentucky bluegrass invasiveness. It is effectively controlled using glyphosate herbicide. Early-season prescribed burns are also emerging as a potential management strategy. Despite its detrimental impacts on grassland diversity, Kentucky bluegrass remains a valuable turf and forage grass in all Canadian provinces and territories.
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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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".