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Record W4307885294 · doi:10.15273/pnsis.v52i2.11498

An examination of mercury concentrations in eggshells of the common snapping turtle (Chelydra serpentina) in Nova Scotia, Canada

2022· article· en· W4307885294 on OpenAlexvenueaboutno aff
Jillian R. Taylor, Linda Campbell, Molly LeBlanc

Bibliographic record

VenueProceedings of the Nova Scotian Institute of Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsChelydraNest (protein structural motif)Mercury (programming language)EggshellTurtle (robot)BiologyBird eggNova scotiaZoologyPredationEcologyFisheryGeographyArchaeology

Abstract

fetched live from OpenAlex

Mercury (Hg) is a potentially toxic metal that has bioaccumulating and biomagnifying properties. In egg laying animals, it can be transferred from an adult female to offspring. However, in turtles, the inter-and-intra-nest variation of Hg concentrations remains unknown. We investigated the concentration of Hg in preyed-upon Common Snapping Turtles (Chelydra serpentina) eggshells. The variability in Hg contamination between and within each nest was assessed. In June 2021, 368 eggshells left behind by predators were sampled from 14 nests, from three different sites in southwest Nova Scotia. Ten eggshells were randomly selected from each nest for analysis. We found no correlation between estimated number of eggs in a nest and average nest Hg concentration. Significant inter-nest variation (Hg ranging from 12.0 ± 3.85 to 172.3 ± 43.9 µg/kg) and intra-nest variability may indicate maternal transfer. The collection of the shells of freshly preyed- upon eggs is a useful non-destructive sampling technique to maintain sustainable turtle populations. Our results demonstrate the need for further investigation into the impact of Hg on temperate, freshwater turtle reproduction. Keywords: mercury concentration, maternal transfer, common snapping turtle, eggshells

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Nova Scotian Institute of ScienceSame topicTurtle Biology and ConservationFrench-language works237,207