Science Response : Stock Status Update of American Lobster in LFAs 36 and 38
Bibliographic record
Abstract
The scientific basis for assessing the status of American Lobster (Homarus americanus) in Lobster Fishing Areas (LFAs) 36 and 38 was reviewed at a framework meeting in September 2019 (Cook et al. 2023), followed by an assessment of the status of the Lobster resources in LFAs 35–38 in October 2019 (DFO 2021a), and yearly updates (DFO 2021b, DFO 2022a). One primary indicator and three secondary indicators that describe changes in Lobster abundance and biomass, along with reference points for the primary indicator were defined at the framework meeting. In this update, the suite of indicators from the 2019 assessment framework are applied to the 2022–2023 fishing season (where data are available). This Science Response Report results from the Regional Peer Review of September 25, 2023, on the Stock status update of American Lobster in Lobster Fishing Areas (LFAs) 36 & 38.
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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 | 0.007 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.046 | 0.030 |
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".