Nematodes in cod – Spatial and Seasonal Analysis : Hringormar í þorski – útbreiðsla og árstíðasveiflur
Bibliographic record
Abstract
Data concerning number of nematodes (Pseudoterranova decipiens and Anisakis simplex) in cod were analysed. The data were collected in the project Processing forecast of cod, from 2001-2005. Results indicate a considerable spatial, but less seasonal, difference in number of nematodes in cod. Not all fishing locations were comparable, due to lack of data, but of those who were compared, fewest nematodes/kg were found in cod caught far off from Vestfirdir. Spatial analysis showed correlation between measurements that were taken close to each other, if the measurements were taken in the same quarter of the year. This shows that the number of nematodes in cod that has been caught in a certain location and quarter, can indicate the number of nematodes in cod that is to be caught in the same location and quarter. Correlation was not found between measurements that were not taken in the same quarter of the year, even though they were taken close to each other.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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; both teacher heads agree on what is shown here.
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".