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Record W4413095081 · doi:10.5038/2074-1235.52.1.1563

Marbled Murrelet <i>Brachyramphus marmoratus</i> Use of a Freshwater Lake on Vancouver Island, British Columbia, 2018–2023

2024· article· en· W4413095081 on OpenAlexaboutno aff
Spencer G. Sealy

Bibliographic record

VenueMarine ornithology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsFisherySeabirdPredationHabitatGeographyNest (protein structural motif)EcologyBiology

Abstract

fetched live from OpenAlex

Marbled Murrelets Brachyramphus marmoratus are small seabirds widely distributed in nearshore waters on the west coast of North America, from Alaska to central California. A 1986 review of anecdotal records revealed that Marbled Murrelets use coastal freshwater lakes during the breeding season, possibly to forage, and in winter, possibly while prospecting for nest sites in old-growth forest. Our weekly surveys and observations on Sproat Lake (central Vancouver Island, British Columbia, Canada) from November 2018 to March 2023, confirmed year round use by murrelets, with absences during the prealternate molt (beginning mid-March) and the prebasic molt (August and September), when the birds were probably at sea. Putative pairs predominated in all months, which suggests mated adults; single murrelets were recorded infrequently when pairs would have been separated during incubation. Murrelets were not observed holding prey, and fledglings were not recorded on the lake. The emerging importance of freshwater lakes and their watersheds as an aspect of Marbled Murrelet life history requires further research, particularly in light of this species’ possible sensitivity to human recreational and other disturbances when using lakes. Identification of recurring use of freshwater lakes, such as Sproat Lake, by Marbled Murrelets could inform conservation actions directed toward potential nesting habitat in nearby old-growth forests.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0930.003

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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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