Assessment of Northern Shrimp (Pandalus borealis) and Striped Shrimp (Pandalus montagui) in Shrimp Fishing Area 4 in 2022
Bibliographic record
Abstract
The status of Northern Shrimp (Pandalus borealis) in Shrimp Fishing Area (SFA) 4 has been assessed annually since 2015 and was last assessed in February 2022. The status of Striped Shrimp (Pandalus montagui) in SFA 4 is assessed on a biennial basis. It was last assessed in 2021 and a stock status update was conducted in 2022. In SFA 4, the statuses of both stocks have been assessed by examining multiple indicators derived from the fishery-dependent data and the Northern Shrimp Research Foundation (NSRF) - Fisheries and Oceans Canada (DFO) research survey data. Despite a year-over-year decrease of the Northern Shrimp Fishable Biomass (FB) and female spawning stock biomass (SSB) indices in 2022, the recent trend suggests continued increases from a historic low in 2018. In 2022, Northern Shrimp in SFA 4 was in the Healthy zone within the Precautionary Approach Framework, just above the Upper Stock Reference, with a 53% probability of being in the Cautious Zone. Striped Shrimp FB and SSB indices in SFA 4 have increased since 2021 and are above the long-term means (2005– 21) of the survey time series. In 2022, Striped Shrimp in SFA 4 is considered in a healthy state in the PA framework (5 times the Limit Reference Point) and other indices of stock health, including the potential predator index, total egg production index, and SFA 4 specific fishable biomass index showed no cause for concern.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".