Assessment of American lobster in Newfoundland
Bibliographic record
Abstract
As in previous assessments, Lobster Fishing Areas (LFAs) were grouped into four assessment regions: Northeast Coast (LFAs 3-6), Avalon (LFAs 7-10), South Coast (LFAs 11-12), and West Coast (LFAs 13-14). Note the current assessment is primarily based on fishery-dependent data from commercial traps from the 2005–21 time series. In 2022 preliminary landings were at the highest in a century (5,780 t); this reflects increasing trends in the Northeast, South and West Coast regions, while reported landings in the Avalon region have remained low. However, reporting rates vary across regions and reported landings likely do not reflect total removals. Throughout the time series estimates of exploitation rates are high in all assessment regions (40–70% in 2021). Biomass indices have increased to time-series highs in all assessment regions in recent years. Short-term recruitment prospects appear steady in the Northeast and Avalon regions and at the highest levels in the time series in the South and West coast regions. Recent improvements in recruitment appear to be associated with increasing sea surface temperature in the assessment regions.
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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 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.003 | 0.001 |
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".