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Record W6931870785 · doi:10.5683/sp3/mqpfht

Data set to accompany manuscript "Seasonal plasticity in the thermal sensitivity of metabolism but not water loss in a fossorial ectotherm"

2024· dataset· en· W6931870785 on OpenAlexaff

Bibliographic record

VenueBorealis · 2024
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Biosensing Techniques and Applications
Canadian institutionsBrock University
Fundersnot available
KeywordsEctothermFossorialOverwinteringThermoregulationAmphibianAcclimatizationEnergy budgetSeasonality

Abstract

fetched live from OpenAlex

Ectotherms from highly seasonal habitats should have enhanced potential for physiological plasticity to cope with climatic variability. However, whether this pattern is applicable to fossorial ectotherms, who are potentially buffered from thermal variability, is still unclear. Here, we evaluated how seasonal acclimatisation (spring vs. autumn) affected the thermal sensitivity of standard metabolic rates (SMR), rates of evaporative water loss (EWL), and skin resistance to water loss (Rs) in the Spotted Salamander (Ambystoma maculatum). We hypothesised that temperature would have both short- and long-term effects over traits (i.e., acute exposure to test temperatures and seasonal acclimatisation, respectively). After accounting for body mass and sex, we found that short-term changes in temperature led to an increase in SMR, EWL, and Rs. Additionally, SMR and Rs differed between seasons, but EWL did not. Sustaining low SMR and high Rs in the spring may allow salamanders to allocate energy toward overwintering emergence and breeding while simultaneously maximising water conservation. By contrast, maintaining high SMR and low Rs in the autumn may allow salamanders to forage aboveground on rainy nights to replenish energy reserves in preparation for the winter. Despite the common assumption that fossorial ectotherms are buffered from thermal effects, our study shows that functional differences between seasons (i.e., breeding in the spring and provisioning in the autumn) are accompanied by seasonal changes in energetic and hydroregulatory requirements.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.050
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.308
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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