First record of the alien pest <i>Rhaponticum repens</i> (Compositae) in the Iberian Peninsula
Bibliographic record
Abstract
First record of the alien pest Rhaponticum repens (Compositae) in the Iberian Peninsula.- Rhaponticum repens is reported for the first time for the flora of the Iberian Peninsula. The species is native from Central Asia and has become invasive in Argentina, Canada, Europe and the USA. It was detected for the first time in abandoned fields from Vilablareix, near the city of Girona (Catalonia, Spain) and in the valley of the Vinalopó in Alicante (Valencia, Spain), where it was collected as early as in 1959 but misdentified. Molecular data, based on nrDNA region ITS, suggest that the reported populations may be closely related to plants from the United States. Due to the extremely noxious character of the species and the possible relationship of Spanish plants with the invasive American populations, some kind of monitoring is recommended. Rhaponticum repens (Compositae), una nueva planta alóctona para la Península Ibérica.- Se cita por primera vez la especie Rhaponticum repens para la flora de la Península Ibérica. Rhaponticum repens es una especie nativa de Asia central que actúa como invasora en diversos países como Argentina, Canadá o los Estados Unidos. Se ha encontrado por primera vez en campos de cultivo abandonados en el pueblo de Vilablareix, cerca de la ciudad de Girona (Cataluña, España) y en el valle del Vinalopó (Valencia, España), donde fue recolectada y mal identificada en 1959. Los datos moleculares, obtenidos a partir de la región ITS del nrDNA, sugieren que estas poblaciones podrían estar relacionadas con plantas invasoras de Estados Unidos. Debido al carácter extremadamente invasor de la especie, y a su posible origen secundario a partir de las poblaciones norteamericanas, se recomienda el seguimiento de estas poblaciones.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".