Capelin Stock Assessment in NAFO Divisions 3NO Based on Data from Trawl Surveys by
Bibliographic record
Abstract
The purpose of this work is to assess the current state of capelin stock in Divisions 3NO. Indices of capelin trawl biomass obtained in Canadian random-stratified bottom trawl surveys are the only available at the present time indicators of capelin stock dynamics. In 2005, trawl biomass of capelin in Divisions 3NO was 3.9 thousand tons that corresponded to the lowest level of the stock since 1996, in 2006 trawl biomass slightly increase and was 9.6 thousand tons, at the average value for this period 24 thousand tons. The average catch in 2005-2006 per 1 km2 was 0.06 t and 0.20 t, correspondingly, at the average value of 0.33 t. The estimate in 2006 corresponds to the low level of the stock. Fishery was conducted in the years when this value was equal or higher than 2 t/km2. Capelin stock in Divisions 3NO remains at the very low level.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".