CHARACTERISTICS OF SEASONAL VARIATION IN DIURNAL VERTICAL MIGRATION AND AGGREGATION OF ANTARCTIC KRILL (EUPHAUSIA SUPERBA) IN THE SCOTIA SEA, USING JAPANESE FISHERY DATA
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".