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Record W2050717741 · doi:10.1898/1051-1733-90.1.51

Bald Eagle Predation on Harbor Seal Pups

2009· article· en· W2050717741 on OpenAlexaboutno aff
James L. Hayward

Bibliographic record

VenueNorthwestern Naturalist · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
FundersBurke Museum, University of Washington
KeywordsEptesicus fuscusMyotis lucifugusZoologyPredationBiologyEcologyGeography

Abstract

fetched live from OpenAlex

and roost selection by reproductive female big brown bats (Eptesicus fuscus) roosting in rock crevices. Journal of Zoology 260:235-244. Lausen CL, Barclay RMR. 2006. Benefits of living in a building: big brown bats (Eptesicus fuscus) in rocks versus buildings. Journal of Mammalogy 87:362-370. riskin DK, pybus MJ. 1998. The use of exposed di urnal roost in Alberta by the little brown bat, My otis lucifugus. Canadian Journal of Zoology 76: 767-772. slough BG, jung TS. 2008. Observations on the nat ural history of bats in the Yukon. The Northern Review 29:127-150. Speakman JR, Hays GC. 1992. Albedo and trans mittance of short-wave radiation for bat wings. Journal of Thermal Biology 17:317-321. studier EH. 1981. Energetic advantages of slight drops in body temperature in little brown bats (Myotis lucifugus). Comparative Biochemistry and Physiology A 70:537-540. turbill C. 2006. Roosting and thermoregulatory be haviour of male Gould's long-eared bats, Nycto philus gouldi: energetic benefits of thermally un stable tree roosts. Australian Journal of Zoology 54:57-60. vaughan TA. 1987. Behavioral thermoregulation in the African yellow-winged bat. Journal of Mam malogy 68:376-378. Wilde C, Knight C, Racey P. 1999. Influence of tor por on milk protein composition and secretion of lactating bats. Journal of Experimental Zoology 284:35-41. Willis KR, Brigham RM. 2007. Social thermoregu lation exerts more influence than microclimate on

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 score0.256
Threshold uncertainty score0.468

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 studies0.0000.000
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 head0.017
GPT teacher head0.226
Teacher spread0.209 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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