Variation on Male Mating Success to Short-Term High Thermal Stress among Three Geographical Strains of Drosophila melanogaster
Bibliographic record
Abstract
The effect of high temperature stress on mating success is investigated in three natural populations of Drosophilamelanogaster from different geographical origins. In this experiment, the males of the control group were continuouslykept at 25°C while the males of the second and third groups were kept at 36°C and 38.5°C respectively for 1 h beforemating to evaluate the male mating success. One group of males exposed to short-term high thermal stress wereimmediately put into the vials to mate with females, while males of the second group were kept in the vials for arelaxation period for 1 h before mating. I found that mating success which was measured as the number of offspringswas higher in the group which was mated immediately after short-term high thermal stress. Also it is seen that theindividuals exposed to 38.5oC were much more successful than the individuals which were kept at 25oC. There is alsosome variation between the populations of different origins as a respond to thermal stress. This results show us thatgenotype environment interaction is higher for male mating success and the relaxation period after short-term thermalstress has a negative effect on male mating success.
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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 | 0.000 | 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".