Small hive beetle (Aethina tumida) threat on the horizon
Bibliographic record
Abstract
Beekeeping is an agricultural industry that deals with breeding bees, obtaining honey, wax, and other products. Bees are used for pollination of many types of crops to increase their harvest. Beekeeping products are also used in medicine, pharmacology, chemical, and food industries. One of the essential aspects of successful beekeeping development is ensuring sustainable epizootic well-being from infectious and invasive bee diseases in Ukraine. About 3 million bee colonies are owned by private farms and amateur beekeepers, which give approximately 50-60 thousand tons of commercial honey and 1.2–1.4 thousand tons of wax per year at the current stage of beekeeping development in Ukraine. Honey and bee products from Ukraine received 15 prestigious awards in various categories at the 77th National Honey Show, held in London among many countries in 2008. In recent years, there has been a constant increase in the threat of new little-known invasive and infectious diseases that pose a significant danger to beekeeping worldwide. The invasion of the small hive beetle Aethina tumida belongs to quarantine and hazardous invasive diseases, which have destroyed many bee colonies in several countries worldwide (USA, Canada, African countries, Australia, some European countries – Italy, and Portugal). There are no effective methods of preventing and controlling the small hive beetle. The only way to prevent the invasion of the small hive beetle in Ukraine is constant monitoring and control at the state border of the movement of bee packages and bee products, which may pose a threat to introducing this invasive species into Ukraine.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".