Invasion of the Carribean by the hibiscus mealybug, Maconellicoccus hirsutus Green [Homoptera : Pseudococcidae]
Bibliographic record
Abstract
Since its accidental introduction into the island of Grenada in 1994, Maconellicoccus hirsutus [Homoptera : Pseudococcidae], commonly named the Hibiscus or Pink Mealybug (HMB), has been inexorably spreading through the Caribbean islands where it has become a major pest on several crops in 24 Caribbean Islands. This pest was also reported in Guyana threatening South and Central America. M. hirsutus is a very prolific pest that injects a toxin at the point of feeding, causing severe distortion of leaves, new shoots and fruit. Initial use of physical and chemical control methods were ineffective. In addition, because of its wide host range and its rapid geographie expansion, not only to agricultural land but also to home gardens and forest areas, biological control appeared as the most suitable method to manage the HMB populations. Three natural enemies were selected for this biocontrol effort: the predatory beetles Cryptolaemus montrouzieri Mulsant and Scymnuscoccivora Ramkrisna [Coleoptera : Coccinellidae] and the parasitoid Anagyruskamali Moursi [Hymenoptera : Encyrtidae]. A. kamali and C. montrouzieri were highly effective in bringing HMB populations under control. In newly infested countries, early introduction of biological control agents resulted in effective management of the pest. This experience provided a model for future management of other alien invasive pest species in the region.
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 | 0.000 | 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) | 0.001 | 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 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".