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Record W7147297323 · doi:10.29173/bluejay6427

Smooth Green Snake Use of Dried Cow "Patties" (Feces) as Cover in Prairie in Southern Manitoba

2025· article· W7147297323 on OpenAlexfundvenueaboutno aff
James R. Duncan

Bibliographic record

VenueBlue Jay · 2025
Typearticle
Language
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
FundersEnvironment and Climate Change Canada
KeywordsCover (algebra)Vegetation (pathology)Land cover

Abstract

fetched live from OpenAlex

Finding a Smooth Green Snake (Opheodrys vernalis) in the wild has been a "bucket list" quest for me since moving to Manitoba about 40 years ago.Although active by day in prairie grasslands and associated treed savannahs, their unmarked grass-green colour makes them hard to find (Figure 1). 1,2It is a small snake with a white, pale green or creamy belly, typically 30 to 50 cm long but some can grow to 80 cm. 3,4It eats a variety of small terrestrial invertebrates including caterpillars, crickets, grasshoppers, and spiders. 2 The Smooth Green Snake is "Secure" globally, but its status in the states and provinces in North America ranges from "Presumed Extirpated" to "Secure".In Manitoba it is ranked as "Vulnerable" and therefore of conservation concern. 2 People sometimes find them under pieces of wood, tin or humanmade materials such as plywood (aka coverboards) placed to monitor or research this and other species like the Northern Prairie Skink (Plestiodon septentrionalis) (A.Krause-Danielsen pers.comm.16 December 2024). 1 In one Manitoba Smooth Green Snake study, 92 per cent of 232 captures were of snakes under cover, and 88 per cent of those were under plywood or particle boards. 1 These reptiles use natural cover or coverboards to hide from predators, look for prey, lay eggs, reduce moisture loss and/or regulate their temperature. 5t was with high hopes that my wife Patsy and I accompanied Brooks Duncan and Marcus Skakum to southwestern Manitoba on 20 July 2023 while they conducted biological inventories for skinks and other species at risk (Figure 2).The areas to be inventoried reportedly had plywood coverboards used in the past to monitor skink populations.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.236
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes3
Has abstractyes

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