Grenadiers of the World Oceans: Biology, Stock Assessment, and Fisheries
Bibliographic record
Abstract
<em>Abstract.</em>—Roundnose grenadier <em>Coryphaenoides rupestris </em>and roughhead grenadier <em>Macrourus berglax </em>are well known slope species in the North Atlantic. Dramatic population declines in both species in Canadian waters of the Northwest Atlantic raised the question: was the decline a result of environmental changes or exploitation? Min–max autocorrelation factor analysis and dynamic factor analysis, two types of time series analysis, showed that a combination of factors acting on different temporal scales explained the trends in both species. Those in <em>Macrourus </em>were best explained by environmental factors operating on long time scales; those in <em>Coryphaenoides </em>were related to exploitation. Our results support the view that an unregulated deep-ocean fishery, as experienced by <em>Coryphaenoides, </em>has serious consequences for species that are slow-growing, long-lived, and late-maturing.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.015 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".