Ekspresowa Analiza Zagrożenia Agrofagiem: Lambdina fiscellaria Guenée, 1858
Bibliographic record
Abstract
In North America, primarily in Canada, Lambdina fiscelaria is considered an important forest pest. The damaging stage of this butterfly is the larvae, causing defoliation of host plants, mainly fir, spruce, larch and pine, as well as others found in forests in the current range, including some deciduous tree species. Severe defoliation can result in reduced growth, drying out portions of the tree crown or complete tree mortality. Massive damage usually occurs in mature stands and usually lasts one to several years. Deciduous host plants are much less likely to be attacked by the pest and are rarely severely damaged. The main route of penetration of the pest is through cut trees or plant parts (unbarked boards and roundwood, cut branches, woody ornamental plants not intended for planting), with which the eggs or pupae of the pest can be transferred, hidden in bark crevices. For a similar reason, a possible route of penetration is plants for planting, as well as plant waste (bark) or inaccurately cleaned machinery and means of transport. An unlikely route of penetration is natural spread by winged adults, which actively fly sluggishly and over short distances (possible passive transmission with stronger air currents). The probability of entry into the PRA area is assessed as medium due to the volume of imported goods that are a potential source of the pest. Given that the current area of the pest is the North American region, with a climate similar in some areas to that of the PRA area, the entire country is potentially at risk.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".