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Record W4285687127 · doi:10.55632/pwvas.v92i1.695

Preliminary Analysis of Mark-Recapture Data for an Ongoing Autecological Study of the Northern Watersnake, Nerodia sipedon sipedon, in a West Virginia stream.

2020· article· en· W4285687127 on OpenAlexaboutno aff
Brian Ringhiser, Zachary J. Loughman

Bibliographic record

VenueProceedings of the West Virginia Academy of Science · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatGeographyEcologyEnvironmental resource managementEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

The northern watersnake, Nerodia sipedon, is a natricine ubiquitous across aquatic habitats of the eastern United States. Found as far north as Ontario, as south as Florida, and stretching as far west as Utah, this species is ever-present and often in high abundance. The prevalence of N. sipedon has garnered extensive research, much of which concerns its reproduction. However, thorough, long-term studies, especially within stream ecosystems, are lacking. The purpose of this study is to fill that void, serving as an analysis of data from the first two years of ongoing autecological research on a N. sipedon sipedon population within Short Creek, a rural stream in the northern panhandle of West Virginia. Morphometric, dietary, thermal, habitat and movement data were recorded for each capture, however this analysis primarily focuses on mark-recapture data in an attempt to provide insight towards implementing radio telemetry during future activity seasons. Further research will investigate unanalyzed data, identify hibernacula, and build upon the established data set.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0050.003
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 head0.032
GPT teacher head0.274
Teacher spread0.242 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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