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Record W2142415274 · doi:10.1139/z03-027

Temporal patterns of foraging activities of northern gannets,<i>Morus bassanus</i>, in the northwest Atlantic Ocean

2003· article· en· W2142415274 on OpenAlexvenueaboutno aff
Stefan Garthe, Silvano Benvenuti, William A. Montevecchi

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsForagingDiel vertical migrationBiologyMorningEcologyTRIPS architectureRange (aeronautics)Time of dayFisheryZoologyAnimal scienceBotany

Abstract

fetched live from OpenAlex

We investigated time allocation and diel rhythms in foraging northern gannets (Morus bassanus). Chick-rearing adults on Funk Island, Newfoundland, Canada, were equipped with different types of data loggers. We found no effects of the devices on the birds' behaviour or breeding success. A total of 25 foraging trips were recorded from 16 birds. Foraging- trip durations (median 13.5 h, range 3.0–39.2 h) showed a bimodal distribution, coinciding with a partitioning of foraging trips into 1- and 2-day trips. Some individuals were consistent in performing either 1- or 2-day trips. During foraging trips, gannets were flying, on average, 44% of the time. Foraging activities exhibited a clear diel rhythm. Flight and diving activity was concentrated during early morning and late afternoon, with reduced activity during midday. Gannets were inactive at night. Flight time between the terminal dive of a foraging trip and arrival at the colony was significantly longer during 2-day trips (94 ± 22 min; mean ± SD) than during 1-day trips (51 ± 22 min). Water masses visited differed between 1- and 2-day trips. We could find no evidence for a clear dual foraging strategy, although birds were exploiting more distant waters during 2-day trips, as has been found for many procellariform species.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

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

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 head0.010
GPT teacher head0.202
Teacher spread0.192 · 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

Citations32
Published2003
Admission routes2
Has abstractyes

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