Canada thistle (Cirsium arvense (L.) Scop.)
Bibliographic record
Abstract
Cirsium arvense is perennial broadleaf weed species, reproducing by seeds and creeping roots. It is one of the most feared weeds in all Serbia and as well as in many countries in Europe and in the world. The noxiousness of the C. arvense is due to its creeping root system, every piece of which can give rise to a new plant, and to the numerous seeds which are easily scattered by the wind and which have a great longevity. The leaves of C. arvense vary greatly in the amount of hairiness, degree of lobing and spininess. Canada thistle species has four varieties based on these variations. It is a common weed of small grain crops, row crops, vegetables, orchards, legumes, roadsides, neglected areas, meadows and pastures. It species high adopted on different environmental conditions (type of soil, nutritions, temperature, moisture) and high competitiveness in relation to many crops. Small patches of Canada thistle should be destroyed promptly by digging out the roots, or by covering with heavy mulch paper. In alfalfa and pastures persistant cutting with a scythe or hoe will gradually reduce the thistle. In many crops except cultivation control is possible with application of many herbicides (clopyralid, metsulfuron- methyl, tribenuron-methyl, etc.).
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) | 0.001 | 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) | 0.003 | 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".