Bibliographic record
Abstract
Abstract Brassica rapa is an annual to biennial herb that is widely cultivated as a vegetable or oilseed crop. It has escaped and become weedy or invasive in cultivated fields and disturbed areas. In Oceania it is listed as an invasive in Australia, Fiji, New Caledonia and New Zealand. In North America it is listed as invasive in some areas of Canada and the USA. In USA, seed use is restricted in Arizona and Michigan. It is also listed as invasive in Cuba, Mexico, Nicaragua, Chile, Ecuador and Peru. There is limited information available about its invasiveness and how it affects habitats, but it has been reported that the species can displace desirable vegetation if not properly managed. In California, USA it establishes in disturbed areas and forms dense stands that can displace native vegetation. In Mexico, although B. rapa is a frequent species in disturbed areas, there are no conclusive data about its negative impact on natural habitats. Its low stature prevents B. rapa from shading other species, and as most of its growth occurs during the winter months and the rainy season it avoids competition with many native species.
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 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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.065 | 0.043 |
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".