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Record W4400929351 · doi:10.1656/045.031.s1217

Under-Ice Behavior of Spotted Turtles (Clemmys guttata) Late in the Overwintering Period

2024· article· en· W4400929351 on OpenAlexaff
Peter B. Mills, Lyndsey N. Friesen, Jacqueline D. Litzgus

Bibliographic record

VenueNortheastern Naturalist · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsLaurentian UniversityAlgonquin College
Fundersnot available
KeywordsOverwinteringPeriod (music)ZoologyBiologyEcologyFisheryGeographyArt

Abstract

fetched live from OpenAlex

In temperate climates, freshwater turtles have to contend with the challenges of hypoxic or anoxic conditions that prevail in ice-covered wetlands during the winter months. Here we describe behavior indicating that Clemmys guttata (Spotted Turtle) make small adjustments to their position late in the overwintering period. We speculate that these movements facilitate access to higher concentrations of dissolved oxygen near the water's surface, and also to the first available aerial oxygen once ice-cover has melted. This access to oxygen in early spring would help eliminate the consequences of acidosis generated over the winter when long-term hypoxia forces turtles to respire using anaerobic pathways.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.255
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes1
Has abstractyes

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