MétaCan
Menu
Back to cohort
Record W7002252345

Nest and duckling survival of scaup at Minto Flats, Alaska

2015· dissertation· en· W7002252345 on OpenAlexfundno aff

Bibliographic record

VenueScholarWorks-UA (University of Alaska Fairbanks) · 2015
Typedissertation
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersU.S. Fish and Wildlife ServiceInstitute for Wetland and Waterfowl Research, Ducks Unlimited CanadaAlaska Department of Fish and GameMassachusetts Department of Fish and Game
KeywordsNest (protein structural motif)BroodPredationFlooding (psychology)Predator
DOInot available

Abstract

fetched live from OpenAlex

To address the hypothesis that declines in recruitment were related to recent declines in abundance of lesser and greater scaup, I estimated variation in nest and duckling survival of these species at Minto Flats, Alaska (6450'N, 14850'W) during 2002-2003.I included nest survival data from two previous studies conducted during 1989-1993 in my analysis.Daily Survival Rate (DSR) of nests was variable within and among years and among habitats.Estimated nest survival of scaup ranged from 0.02 (95% Cl: 0.00 to 0.06) in 1992 to 0.61 (95% Cl: 0.50 to 0.74) in 1993.Predation was the primary apparent cause o f nest failure, and flooding of nests was an important secondary influence.DSR of ducklings varied between years and increased with age of the ducklings and body condition of the brood female.Duckling survival to 30 days was: 0.24 (95% Cl: 0.16 to 0.36) in 2002 and 0.03 (95% Cl: 0.00 to 0.19) in 2003.I conclude that high temporal variability in production of scaup at Minto Flats was likely related to annual variation in the risks o f predation and flooding and indicated that intermittent years o f high production could be particularly influential to this population.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueScholarWorks-UA (University of Alaska Fairbanks)Same topicAvian ecology and behaviorFrench-language works237,207