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THE PRELAYING INTERVAL OF EMPEROR GEESE ON THE YUKON-KUSKOKWIM DELTA, ALASKA

2006· article· en· W2178301562 on OpenAlexaboutno aff
Jerry W. Hupp, Joel A. Schmutz, Craig R. Ely

Bibliographic record

VenueOrnithological Applications · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersU.S. Geological SurveyU.S. Fish and Wildlife Service
KeywordsDeltaSnowNest (protein structural motif)EcologyRange (aeronautics)GeographyBiologyAnimal science

Abstract

fetched live from OpenAlex

We marked 136 female Emperor Geese(Chencanagica) in western Alaskawith VHF or satellite (PTT) transmittersfrom 1999 to 2003 to monitor their spring arrivaland nest initiation dates on the Yukon Delta, andto estimate prelaying interval lengths once at thenesting area. Ninety-two females with functionaltransmitters returned to the Yukon Delta in thespring after they were marked, and we located thenests of 35 of these individuals. Prelayingintervals were influenced by when snow melted inthe spring and individual arrival dates on theYukon Delta. The median prelaying interval was15 days (range = 12–19 days) in a year when snowmelted relatively late, and 11 days(range = 4–16 days) in two warmer yearswhen snow melted earlier. In years when snow meltedearlier, prelaying intervals of <12 daysfor 11 of 15 females suggested they initiated rapidfollicle development on spring staging areas. Theprelaying interval declined by approximately0.4 days and nest initiation date increasedapproximately 0.5 days for each day a femaledelayed her arrival. Thus, females that arrivedfirst on the Yukon Delta had prelaying intervals upto four days longer, yet they nested up to fivedays earlier, than females that arrived last. Theproximity of spring staging areas on the AlaskaPeninsula to nesting areas on the Yukon Delta mayenable Emperor Geese to alter timing of follicledevelopment depending on annual conditions, and toinvest nutrients acquired from both areas in eggsduring their formation. Plasticity in timing offollicle development is likely advantageous in avariable environment where melting of snow cover inthe spring can vary by 2–3 weeksannually.

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 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 score0.119
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.247
Teacher spread0.227 · 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

Citations19
Published2006
Admission routes1
Has abstractyes

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