Science response: stock status update of American lobster in LFAs 27-32
Bibliographic record
Abstract
The scientific basis for assessing the status of American Lobster (Homarus americanus) in Lobster Fishing Areas (LFAs) 27–33 was examined at a framework meeting in January 2018, followed by an assessment of the status of the Lobster resources in LFAs 27–32 in February 2019, and updates in January 2020 and 2021. This update applies a suite of indicators from the 2018 framework to the stock status up to the end of the 2021 fishing season, wherever possible. Primary stock-status indicators for Lobster in LFAs 27–32 meet the intent of Fisheries and Oceans Canada (DFO) precautionary approach and allow for the evaluation of stock status. This Science Response Report results from the Regional Science Response Process of February 3, 2022 on the Stock Status Update of American Lobster in LFAs 27–32. This update contains information to the end of the commercial fishing seasons in 2021. Outside of commercial fishing seasons, treaty-based fisheries were prosecuted by Indigenous fishers in some LFAs. These landings are not included in annual landings reported herein. Any removals from treaty-based fisheries would not be accounted for in the stock status indicators presented herein.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.015 |
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".