Spatial stock structure of northern shrimp <i>Pandalus borealis</i> Krøyer, 1838 (Decapoda: Caridea: Pandalidae) in Canada’s Northwest Atlantic
Bibliographic record
Abstract
Abstract Northern shrimp, Pandalus borealis Krøyer, 1838, are thought to form one biological unit, connected through larval dispersal, from Baffin Island in the north to the Grand Banks of Newfoundland and Labrador in the south. Current stock assessments suffer from misalignments in management, assessment, and biological spatial scales. To adequately manage and model stock dynamics, the spatiotemporal patterns in stock structure must be identified to the extent possible. We identified spatial patterns in density and life history traits (sex ratio and female length) using spatiotemporal modelling. Density peaked in depths near 250–300 m (along slope edges), the proportion of males declined as depth increased, and maximum female length was predicted in waters deeper than 400 m and in more northern areas. These spatial patterns were combined with updated genomic and larval dispersal patterns to illustrate underlying structure throughout the study area. We found two consistent north/south clusters through the time series, notably different from the current assessment and management areas used throughout the region. Spatial heterogeneity of northern shrimp dynamics and the resulting stock structure should be considered within northern shrimp assessment models to ensure proper model specification and appropriate management of the stock.
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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 | 0.001 |
| 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) | 0.001 | 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".