Revisiting the role of pathogen diversity and microbial interactions in honeybee susceptibility and treatment of Melissococcus plutonius infection
Bibliographic record
Abstract
European Foulbrood (EFB) is a severe bacterial disease affecting honeybees, primarily caused by the Gram-positive bacterium Melissococcus plutonius. Although the presence of M. plutonius is associated with EFB, it does not consistently predict the manifestation of symptoms, and the role of ‘secondary invaders’ in the disease’s development remains a subject of ongoing debate. This review provides an updated synthesis of the microbial ecological factors that influence the expression of EFB symptoms, which have often been overlooked in previous research. In addition, this review examines the potential negative health consequences of prolonged antibiotic use in bee colonies for treating EFB, and proposes innovative and sustainable alternatives. These include the development of probiotics and targeted microbiota management techniques, aiming to enhance the overall resilience of bee populations to this debilitating disease.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".