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Record W2186400157

CHARACTERISTICS OF SEASONAL VARIATION IN DIURNAL VERTICAL MIGRATION AND AGGREGATION OF ANTARCTIC KRILL (EUPHAUSIA SUPERBA) IN THE SCOTIA SEA, USING JAPANESE FISHERY DATA

2005· article· en· W2186400157 on OpenAlexaboutno aff
Kenji Taki, Tomonari Hayashi, Mikio Naganobu

Bibliographic record

VenueCCAMLR science · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsEuphausiaKrillAntarctic krillTrawlingOceanographyShetlandDiel vertical migrationEuphausiaceaEnvironmental scienceSeasonalityNova scotiaFisheryGeographyFishingBiologyEcologyGeology
DOInot available

Abstract

fetched live from OpenAlex

Seasonal variation in the diurnal vertical migration and aggregation of Antarctic krill (Euphausia superba) associated with the daylight phase over the diurnal cycle (i.e. brightness categories) was examined for the Scotia Sea (South Shetland Islands (SS), South Orkney Islands (SO) and South Georgia (SG) areas) using Japanese fi shery data. Average trawling depth usually showed a marked diurnal change during summer and winter in SS and SO. Daily average trawling depth tended to be shallower during austral summer and early autumn, deepened gradually from autumn and reached maximum depth in winter in the Scotia Sea, shifting to shallower depths again in early spring. The average catchper-unit-effort (CPUE) was highest during the day and lowest at night in autumn and winter in each area, but lower during the day in summer in SS and SO. It is suggested that the seasonal and diurnal changes in vertical migration and aggregation of krill are closely related to its feeding and spawning ecology and avoidance of visual predators.

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 score0.134
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

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

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 head0.028
GPT teacher head0.276
Teacher spread0.248 · 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

Citations55
Published2005
Admission routes1
Has abstractyes

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