Histomorphological description of the reproductive system in mated honey bee queens
Bibliographic record
Abstract
The accelerating decline of pollinator populations has become increasingly concerning in the last two decades. Honey bees are economically important pollinators and a model species to evaluate pollinator health. The decline in queen quality is one of the frequently reported causes associated with honey bee losses worldwide. Histopathology is an essential tool used for diagnostics and research in mammalian species and may provide insight into the histomorphological basis of a decline in queen quality. Thus, the purpose of this study was to summarize the previously described normal morphology of the entire reproductive tract of mated honey bee queens and to illustrate it by high quality photomicrographs. Accordingly, reproductive tracts of one-year old mated honey bee queens were processed for histology, serially sectioned, stained with hematoxylin and eosin, and used for the capture of high quality histological photomicrographs of the entire reproductive tract. This study illustrates the microscopic morphology of the queen reproductive tract which may facilitate further investigations of the cause and pathogenesis of the recent decline in reproductive fitness of honey bees using histopathology.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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".