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Record W2586375393

Microhabitat Preferences of a Small Mammal Assemblage in Canadian County, Oklahoma

2016· article· en· W2586375393 on OpenAlexaboutno aff
Sophia Hackney, Anthony J. Stancampiano

Bibliographic record

VenueProceedings of the Oklahoma Academy of Science · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsPeromyscusSigmodon hispidusEcologyHabitatBiologyWoodlandGeographyNiche
DOInot available

Abstract

fetched live from OpenAlex

We  conducted a small mammal ecological study at John Nichols Scout Ranch in Southeastern Canadian County, Oklahoma, during the summers of 2013 and 2014. Microhabitat preferences of Peromyscus leucopus, P. maniculatus, Neotoma floridana, and Sigmodon hispidus were determined using species’ presence/absence and 60 habitat variables at 10 randomly selected plots. These data were subjected to principle components analysis and niche overlap. Peromyscus leucopus and N. floridana occupy similar woodland areas, featuring high degrees of litter and overhang canopy, as well as rocky outcrops. Peromyscus maniculatus was associated with areas of annual, barren, shrub, and tree coverage, with adjacent habitat heterogeneity—an edge. Sigmodon hispidus was found in open grasslands with homogeneous adjacent habitat. Peromyscus leucopus and N. floridana had the highest degree of niche overlap, while P. maniculatus had a smaller overlap with these species. Sigmodon hispidus had the lowest degree of niche overlap among all studied species, indicating high habitat specificity. ©2015 Oklahoma Academy of Science

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.026
GPT teacher head0.241
Teacher spread0.215 · 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 designBench or experimental
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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

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