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Record W4213370366 · doi:10.53607/wrb.v27.118

Body Size and Hematological Values for Herring Gulls (Larus argentatus) Breeding in the Northeastern United States

2009· article· en· W4213370366 on OpenAlexaboutno aff
Andrea Bergeron, Julie C. Ellis

Bibliographic record

VenueWildlife Rehabilitation Bulletin · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
FundersBowdoin CollegeEarthwatch InstituteGeraldine R. Dodge Foundation
KeywordsHerringLarusHerring gullWildlifeFisheryGeographyBiologyZoologyEcologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

With a substantial number of herring gulls (Larus argentatus) being seen each year at wildlife clinics and wildlife rehabilitation facilities, it is clear that there is a need for hematological reference values for this species. Being able to compare values from gulls in these settings to reference ranges available from healthy, actively breeding gulls will provide useful information regarding their health. Surprisingly, there are very few published studies with hematological data specific to herring gulls. In this study, serum chemistry values and body size measurements were obtained from approximately 20 incubating herring gulls at two breeding islands—Appledore Island, Maine, USA and Kent Island, New Brunswick, Canada. The values found were compared to those in the published literature obtained from a number of similar species. This comparison indicated that the hematological values from the herring gulls sampled on Appledore and Kent Islands are similar to those found in other gull species. Therefore, the data collected in this study represent ranges of normal hematological values for healthy, breeding herring gulls.

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)0.001
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 score0.064
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.011
GPT teacher head0.269
Teacher spread0.258 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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