Potential distribution of two wheat pests, Agriphila aeneociliella and A. vulgivagella, in China
Bibliographic record
Abstract
[Objectives] The insect Agriphila aeneociliella(Eversmann)] is a new pest of wheat crops that has appeared in Shandong and Shanxi Provinces in the past a few years. Another species in the same genus Agriphila Hubner, A. vulgivagella(Clemens) is also a pest of wheat and rye crops in the US and Canada. Their possibly damage areas in China is essential to wheat production. [Methods] Based on actual happens and biological characters, their potential distribution areas in China were analyzed by using of CLIMEX model. [Results] CLIMEX model analysis indicates that the EI values of both species are 20 in most of China's main wheat production areas. [Conclusion] It is important to both limit the spread of A. aeneociliella and prevent the introduction of A. vulgivagella through effective quarantine measures.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| 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) | 0.000 | 0.000 |
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 teacher head, 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".