MétaCan
Menu
Back to cohort
Record W2015204305 · doi:10.1525/auk.2008.125.1.158

VARIATION IN MARINE DISTRIBUTIONS OF CASSIN'S AUKLETS (<i>PTYCHORAMPHUS ALEUTICUS</i>) BREEDING AT TRIANGLE ISLAND, BRITISH COLUMBIA

2008· article· en· W2015204305 on OpenAlexaffabout
W. Sean Boyd, Laura McFarlane Tranquilla, John L. Ryder, STEVEN G. SHISKO, Douglas F. Bertram

Bibliographic record

VenueThe Auk · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsSimon Fraser UniversityEnvironment and Climate Change Canada
Fundersnot available
KeywordsRange (aeronautics)PopulationAltitude (triangle)GeographyPhysical geographyEcologyOceanographyBiologyGeologyDemographyMathematics

Abstract

fetched live from OpenAlex

Approximately 55% of the world's population of Cassin's Auklets (Ptychoramphus aleuticus) nests at Triangle Island, British Columbia. To improve our understanding of the biology of these birds during the breeding season, we tracked 112 radiomarked individuals over three years, 1999–2001. We flew high-altitude surveys to describe the at-sea distributions of the marked birds during the chick-rearing period. Using radiotelemetry point locations, we determined that the location of marine use areas, distance from colony, and water depth varied significantly across years. In 1999 and 2000, radiomarked birds were, on average, ∼50 km southwest of Triangle Island in waters approximately 1400–1800 m deep. However, in 2001, radiomarked birds were, on average, ∼80 km northwest of Triangle Island in waters ∼725 m deep. Intra-annually (i.e., between surveys spanning days or weeks), there were no such large-scale directional shifts in marine use area. The size of marine use areas (quantified using kernel home range [KHR] analyses) varied across the three years, from approximately 650 to 1,400 km2 (50% KHR) and from approximately 3,200 to 8,200 km2 (95% KHR). Variation des distributions en mer de Ptychoramphus aleuticus se reproduisant sur l'île Triangle, en Colombie-Britannique

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.996

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)0.0050.000

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 head0.014
GPT teacher head0.212
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; a candidate call from one teacher head, not a consensus.

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

Citations24
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueThe AukSame topicAvian ecology and behaviorFrench-language works237,207