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Record W2187542313 · doi:10.5038/2074-1235.37.3.855

Breeding Biology of the Fork-tailed Storm-petrel Oceanodroma Furcata on Kasatochi Island, Aleutian Islands, Alaska

2009· article· en· W2187542313 on OpenAlexfundno aff
Brie A. Drummond, Marty L. Leonard

Bibliographic record

VenueMarine ornithology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaU.S. Fish and Wildlife ServiceKillam TrustsDalhousie University
KeywordsFledgeSeabirdOrnithologyBiologyPopulationZoologyForagingEcologyFisheryHatchingSouthern HemisphereDemographyPredation

Abstract

fetched live from OpenAlex

We present the first detailed account of breeding biology in Fork-tailed Storm-Petrels Oceanodroma furcata from the Aleutian Islands, Alaska, where nearly two thirds of the global breeding population occurs.We examined timing of breeding, breeding success, chick growth, parental provisioning and chick diet during two consecutive breeding seasons at a colony in the central Aleutians.Most adults laid eggs before late May, eggs hatched between mid-June and early August and chicks began fledging in mid-August.Timing of breeding varied between years, with an earlier mean hatch in 2005 than in 2006.Hatching success was consistently high in both years (89% in 2005, 91% in 2006), but fledging success varied substantially between years (58% in 2005, 89% in 2006), indicating that factors that influence chick survival may drive annual breeding success.Visitation rate, meal size and composition of chick diets also varied between years, suggesting that foraging conditions varied during our study.Food availability and weather conditions may both have contributed to the variation we observed in timing of breeding and fledging success.

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 score0.155
Threshold uncertainty score0.997

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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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