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Record W4308723230 · doi:10.22621/cfn.v136i2.2783

A resurvey of a Wood Turtle (<i>Glyptemys insculpta</i>) population in northern New Hampshire, USA, after 13 years

2022· article· en· W4308723230 on OpenAlexvenueno aff
Brett Hillman, Michael Jones

Bibliographic record

VenueThe Canadian Field-Naturalist · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsTurtle (robot)PopulationPopulation sizeDemographyRange (aeronautics)EcologyPopulation modelBiologyGeography

Abstract

fetched live from OpenAlex

Populations of Wood Turtle (Glyptemys insculpta) have declined across the species’ range. We surveyed a protected Wood Turtle population in northern New Hampshire in 2007 and again in 2020 to determine whether the size of the population had changed and the average annual survival rate between the two periods. We used closed-population loglinear models to estimate the adult population size in 2007 and 2020 and, for the subset of turtles captured in both years, to estimate the rate of survival. Based on these models, we found an adult population of 56 (95% CI 33–126) in 2007 and 46 (95% CI 31–85) in 2020; we did not detect a statistically significant difference between the two population estimates. In addition, we estimated a 96% average annual adult survival rate and determined this rate could be no lower than 92%. This information provides useful baseline data and will help inform future monitoring and threat mitigation work for this population.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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)0.0040.000

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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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.

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

Citations3
Published2022
Admission routes1
Has abstractyes

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