State‐dependent attacks in a mosquito
Bibliographic record
Abstract
Mosquito biting frequency and meal size are considered to be important parameters in the epidemiology of insect‐vectored diseases such as malaria. Because both parameters are likely to depend on the size and energetic state of adult mosquitoes, the present study investigates the effects of body size and energy state on attack behaviours in the malaria mosquito, Anopheles gambiae . Attack rates are measured as well as total time spent before giving up for individual females when provided with an unobtainable human hand (i.e. mosquitoes are dislodged every time that they land). The factorial design considers two body sizes, small and large, as well as three sugar deprivation states, 0, 1 and 2 days. The results reveal a positive effect of size on attack rate and a nonlinear effect of energy state, where mosquitoes of intermediate energy state show lower attack rates than either 2‐day food‐deprived or nondeprived mosquitoes. Moreover, attack rate is negatively associated with persistence time in nondeprived and 2‐day food‐deprived Anopheles but is unrelated to persistence time in 1‐day food‐deprived mosquitoes, Interestingly, although persistence times are generally inversely related to attack rates, they are not significantly influenced by either energetic or size states.
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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 | 0.001 |
| 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".