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Record W2778946195 · doi:10.1656/045.024.0404

The Bee Fauna of Inland Sand Dune and Ridge Woodland Communities in Worcester County, Maryland

2017· article· en· W2778946195 on OpenAlexaff
Jennifer A. Selfridge, Christopher T. Frye, Jason Gibbs, Robert P. Jean

Bibliographic record

VenueNortheastern Naturalist · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsEntomological Society of Canada
FundersU.S. Fish and Wildlife Service
KeywordsWoodlandFaunaRidgeHabitatGeographyEcologyBiology

Abstract

fetched live from OpenAlex

We surveyed bees inhabiting inland dune and ridge woodlands at 30 sites in Worcester County, MD, in 2008 and 2009 . We collected and identified 4878 bees representing 5 families, 31 genera, and 121 species. Here, we report data on annual and seasonal variation. Expanding survey efforts to include multiple years and seasons served to increase the overall number of species encountered, primarily through documenting the presence of rare or infrequently collected species. Eighty-eight species (73%) were represented by fewer than 10 individuals; of these 30 were represented by a single individual (25% of the total). The 5 most dominant species represented nearly half (48%) of the total number of specimens. We report a list of bee species collected from inland dune and ridge woodlands and discuss the presence of apparently habitat-restricted species.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.871

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.039
GPT teacher head0.231
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations12
Published2017
Admission routes1
Has abstractyes

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