Effects of temperature acclimation and age on movement of <i>Cryptolestes ferrugineus</i> (Coleoptera: Laemophloeidae) adults in response to temperature gradients
Bibliographic record
Abstract
Abstract Adult Cryptolestes ferrugineus (Stephens) were reared at 30 °C or acclimated to 15, 25, or 35 °C for different periods (2 days or 1, 2, or 5 weeks). Populations 1 day old, 1, 5, 10, or 20 weeks old, or of mixed age were held in 10 cm × 10 cm × 100 cm wheat columns (14.5% ± 0.2% moisture content) with a temperature gradient (10 °C/m, 25–35 °C) or a constant temperature (25 or 30 °C) for 1, 6, or 12 days; movement and distribution were then determined. Acclimation to 25 °C for a short time (less than 2 days) did not influence adults' response to temperature in the wheat column. Adults acclimated to 15 and 35 °C responded differently to temperature in the wheat column, preferring temperatures above 30 and 35 °C, respectively. Increasing the duration of the acclimation to 15 or 35 °C resulted in higher aggregation. Acclimation temperature might be more important than exposure time for influencing insect behaviour. During their movement in the wheat columns, adults were also acclimated to the tested temperatures, and they did not always stay in a warmer area if the "cold" area was warmer than 25 °C. Adults that were 1 day old had a lower response (i.e., less movement) to temperature gradients than the older insects. Among the older insects, the response to temperature gradients did not decrease with increasing age, even at 20 weeks.
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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".