Advances in the mechanisms of entomopathogenic fungi infecting insect hosts and the defense strategies of insects
Bibliographic record
Abstract
Background: Entomopathogenic fungi are a group of fungi that parasitize insects and cause insect death, with high insecticidal efficacy and low impact on the environment. Entomopathogenic fungi have important application and are often used as biopesticides to control pests. Progress: This paper provides an overview of the categorization information for insect pathogenic fungi and elaborates on the processes involved in fungal infection of the host, changes in host behavior, and the mechanism of spore transport during infection. Following that, the strategies used by insects to fight infection are sorted, focusing mostly on body wall defense, autoimmune system protection, and behavioral avoidance of fungal pathogens. On the basis of this, the coevolutionary relationship between the defense mechanisms of insects and the harmful mechanism of fungi on insects is examined. Prospects: We look forward to future research directions, emphasizing that the effects of insect population density and spore concentration in the environment on infectious disease outbreaks should be investigated based on basic models of infectious disease transmission dynamics, and that fungal transmission patterns should be studied to guide field applications.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".