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Record W4400402578 · doi:10.17161/randa.v31i1.21260

Depredation attempt on novel prey by Northern Pinesnake (<i>Pituophis m. melanoleucus</i>)

2024· article· en· W4400402578 on OpenAlexaboutno aff
Jason Fantuzzi, Daniel Brill

Bibliographic record

VenueReptiles & Amphibians · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
FundersNew Jersey Department of Environmental Protection
KeywordsPredationEnvironmental scienceEcologyBiology

Abstract

fetched live from OpenAlex

T he genus Pituophis, comprised of seven species of large, stout-bodied colubrids that collectively range from southern New Jersey westward into southern Canada and southward through Guatemala, are known predators of rodents and other small mammals at all age classes (e.g., Palmer and Braswell 1995; Werler and Dixon 2000; Ernst and Ernst 2003).However, jumping mice of the genus Zapus have not been recorded as prey of Pituophis.At 1540 h on 14 July 2023, while conducting surveys for Northern Pinesnakes (Pituophis m. melanoleucus) in Ocean County, New Jersey, we encountered a mouse, later identified via Reid (2006) as a Meadow Jumping Mouse (Zapus hudsonius) in the coils of a juvenile Northern Pinesnake (total length ~70-75 cm) (Fig. 1).The snake retained its grip on the mouse until one of us stepped away to retrieve a proper camera for documentation, at which time it relaxed its grip, unwound its coils, and rapidly fled down a "dime-sized" hole 3 cm away.After 15 minutes, the snake twice attempted to leave its retreat, presumedly to consume the dead mouse.Although we were forced to aban-don the observation in light of impending thunderstorms, we speculated that once the snake was confident in our absence, it left the burrow and consumed the mouse.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

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)0.0030.000

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 head0.233
Teacher spread0.221 · 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 designCase report
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
Published2024
Admission routes1
Has abstractyes

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