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Record W2116079335 · doi:10.1139/z03-112

Diving behavior of an epipelagically feeding alcid, the Rhinoceros Auklet (<i>Cerorhinca monocerata</i>)

2003· article· en· W2116079335 on OpenAlexvenueno aff
Maki Kuroki, Akiko Kato, Yutaka Watanuki, Yasuaki Niizuma, Akinori Takahashi, Yasuhiko Naito

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsBiologyPredationMorningNocturnalDuskPelagic zoneAnimal scienceZoologyEcology

Abstract

fetched live from OpenAlex

The diving behavior of Rhinoceros Auklets (Cerorhinca monocerata) breeding at Teuri Island, Hokkaido, Japan, was studied using small bird-borne time–depth dataloggers. The eight auklets made dives without an obvious horizontal bottom phase to a median depth of 14.0 ± 1.8 (mean ± SD) m (maximum 57 m) for 53 ± 8 s (maximum 148 s) between the hours of 0300 and 2000. They made undulations (rapid depth changes), considered to represent prey pursuit, in 35% of the dives. Of the undulations, 57% occurred during the deep (&gt;80% of maximum depth) parts of the dives and 26% during the ascent phase. The auklets performed 26 ± 31 dives continuously during dive bouts of 32 ± 34 min. Dive bouts at the end of the day were twice as long as in the morning and at midday. During dive bouts, the auklets showed consistent trends in dive depth, decreasing (23% of bouts), increasing (32%), or stable (19%), but sometimes they showed hectic depth changes (26%). V-shaped dives (with no horizontal bottom phase), potential prey pursuit in both the deep parts and ascent phases of the dives, and variable depth changes within dive bouts indicate the auklets' epipelagic feeding habits.

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 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 score0.066
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.225
Teacher spread0.211 · 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

Citations59
Published2003
Admission routes1
Has abstractyes

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