Comparing capelin abundance estimates from predator diet data and an acoustic survey
Bibliographic record
Abstract
In Newfoundland and Labrador marine food webs, capelin ( Mallotus villosus) is a critical energetic link between zooplankton and larger vertebrates, making an accurate assessment of capelin population dynamics integral to effective regional fisheries management. In 1990–1991, the capelin population off the east coast of Newfoundland collapsed, with limited recovery since. Shifts in capelin biology and uncertainties associated with capelin survey data since their collapse have limited understanding of the causes of the capelin collapse and subsequent lack of recovery. We sought to gain a better understanding of capelin population dynamics by modifying a recently developed integrated prey dynamics model to account for temperature- and ontogenetic-induced diet shifts. The best-performing model included an ontogenetic, but not temperature-induced, diet shift to account for changes in predator selectivity. Abundance estimates from our model were not correlated with current assessment estimates. Different estimated trends between predators indicated potential spatial and temporal shifts in predator-prey dynamics. This model helps improve understanding of capelin population dynamics by compensating for limitations associated with individual data sources.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".