Non-Predation Natural Mortality Of Norway Pout (Trisopterus Esmarkii) In The North Sea.
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.Based on catch rates at age in bottom trawl surveys, commercial catch at age, and stomach content data of the main piscivorous fish in the North Sea new estimates of non-predation natural mortality, M1, are obtained for Norway pout (Trisopterus esmarkii (Nilsson)). Simple catch curve type analysis and rough maximum likelihood procedures are applied. M1 of Norway pout increases with age and gets very high for age 2 and older fish (0.07 for age 0, 0.13 for age 1, 1.82 for age 2, 2.84 for age 3 and 3.74 for age 4). Survey data from each of the 4 quarters of the year show that the main mortality takes place between the 1st and the 2nd quarter of the year, i.e. from before to after spawning, thus pointing at spawning as the main factor. However, a lack of correlation between annual total mortality of age 1 and annual percentage mature Norway pout of age 1 points away from spawning as the main factor. An alternative hypothesis is that growth stress is the main factor. There are no reasons to believe that M1 has changed considerable over the recent decades.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 | 0.001 |
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".