Investigating the Cross Stage Impacts of High Temperatures During Egg Development in Gryllodes sigillatus
Bibliographic record
Abstract
Temperature significantly influences metabolism and growth in insects. Most insects are ectotherms, animals that do not produce useful body heat internally and whose body temperature closely matches their environmental temperature. While previous studies have primarily examined the impacts of short-term stressful changes in temperature or constant temperature exposure throughout all life stages, the extent to which early thermal history affects cross-stage development remains unclear. Addressing this knowledge gap, we distributed the eggs of a commercially-relevant cricket species raised as food and feed, Gryllodes sigillatus, across a thermal gradient ranging from 22°C to 40°C to assess relative hatching success and rate. It was indicated that higher temperatures (above the optimal 32°C) resulted in an increased hatching rate, while treatment groups with lower temperatures had a slower hatching rate or failed to do so. Further, decreased performance was observed for the highest temperature group (39°C), showing that the thermal limit was not achieved. A better understanding of these interactions with temperature will allow for more informed decisions for commercial rearing conditions.
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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".