Comparison of the performance equation with its generalized version in describing the temperature-dependent survival of insects and mites
Bibliographic record
Abstract
Abstract The performance of various life processes in arthropods is greatly influenced by temperature. The survival of arthropods is temperature-dependent, which must be accounted for when predicting and simulating outbreaks of pest population under global warming scenarios. However, mathematical models for describing temperature-dependent arthropod survival are still lacking. The 5-parameter performance equation (PE), which was originally proposed to describe the influence of temperature on the jumping distance of the green frog, can generate symmetrical and asymmetrical inverted U-shaped curves, and thus is applicable to modeling a broad variety of thermal performance relationships. However, prior studies have not assessed its validity in describing the temperature-dependent survival of arthropods. In this study, we used 16 data sets of insects and mites to test the validities of this PE and its generalized version with 7 parameters (GPE) in fitting temperature-dependent survival data. The PE and GPE were both found to be valid for use in fitting the observed data. However, the estimated values of the PE’s parameters were more robust than those of the GPE. The goodness of fit of the GPE was better than that of the PE for each data set; however, the GPE tended to overfit the data when observations at threshold temperatures were lacking. Overall, the PE is better than the GPE. The present work further confirmed that the temperature-dependent survival of arthropods is an inverse U-shaped curve and provided a useful tool for quantifying the effect of temperature on the survival of arthropods.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".