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Record W4413095080 · doi:10.5038/2074-1235.52.1.1553

Autumn Marine Bird Populations in Queen Charlotte Strait and Adjacent Waters: a Candidate for IBA/KBA Status

2024· article· en· W4413095080 on OpenAlexaboutno aff
Anthony J. Gaston, Mark Maftei, Sonya A. Pastran

Bibliographic record

VenueMarine ornithology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSeabirdTransectGeographyOrnithologyFisheryPopulationEcologyBiologyPredationDemography

Abstract

fetched live from OpenAlex

Systematic transect surveys of marine birds in eastern Queen Charlotte Strait and the western part of Johnstone Strait, British Columbia, Canada, were made between mid-August and mid-October 2020–2022. All birds within 100-m transect strips were counted and numbers corrected for detectability. Extrapolating within five regions of differing ecological characteristics and seabird densities, our results indicate that the study area supported 1% or more of the North American populations of Pigeon Guillemot Cepphus columba, Marbled Murrelet Brachyramphus marmoratus, California Gull Larus californicus, Glaucous-winged Gull L. glaucescens, Iceland Gull L. glaucoides, and Short-billed Gull L. brachyrhynchos. Our estimation of gull species in our study area would have been even higher if gulls in flight had been included in our survey. Furthermore, maximum estimates of Common Murre Uria aalge exceed the total population breeding in British Columbia. Only Pigeon Guillemot, Marbled Murrelet, and Glaucous-winged Gull breed in Queen Charlotte Strait, and only Marbled Murrelet is considered to be “at risk.” However, based on current criteria, it seems that the area would be a prime candidate for nomination as an International Union for Conservation of Nature (IUCN) Key Biodiversity Area.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.820
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.019
GPT teacher head0.278
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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes1
Has abstractyes

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