An Assessment of Stock Status of the Greenland Halibut Resource in NAFO Subarea 2 and Divisions 3KLMNO based on Extended Survivors Analysis.
Bibliographic record
Abstract
An Extended Survivors Analysis was applied to the commercial catch at age data for Greenland Halibut in NAFO Subarea 2 and Divisions 3KLMNO from 1975-2001 to assess the current status of the stock. The analysis was calibrated using Canadian and European Union research vessel survey data. Stock biomass at ages 5 and older is estimated to have increased during the late 1980's and then declined rapidly during the period of high landings in the early 1990's. Estimated fishing mortality has followed the trend in landings, increasing rapidly in the early 1990's, remaining high as the stock was reduced to its historic lows and then declining to the low levels recorded during 1985–1990. The reduction in exploitation has resulted from both a decrease in the recorded landings and an increase in biomass following the better than average recruitment of the 1993-1995 year-classes. However, the assessment is considered to be very uncertain with respect to absolute estimates of stock size and it does not match the historic trends in the stock as illustrated by the longest survey series. The increasing trend in the late 1990s is believed to be reflective of the stock trajectory during that period, however, the continued increasing trend since then is inconsistent with the trends in stock size from all other major sources. Given these concerns, the assessment in its present form therefore is considered unreliable for projecting future stock trends and potential catch levels. Data
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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 | 0.000 | 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".