The Habitats of 0-group Juvenile Atlantic Cod in Bonne Bay, \na Fjord within Gros Morne National Park, Newfoundland
Bibliographic record
Abstract
A standardized survey of Bonne Bay, a fjord located within Gros Morne National Park, \nNewfoundland, was conducted in the month of June during the years 2002 �– 2009 and in \nOctober 2009 to determine the fish species found in the nearshore waters of the bay. The \nsurvey was conducted using a 10 m beach seine, a 25 m beach seine, gillnets, and a \nbottom trawl to sample a variety of depths. The data for young-of-the-year (0-group) \njuvenile Atlantic cod (Gadus morhua) were analyzed using the general linear model \napproach to determine the effect of study site and year on the number of 0-group cod \ncollected per tow of the 25 m beach seine. This study found that there was no trend in \njuvenile cod abundance over time. Although the statistical relationship between site and \nabundance was close to significant, there was no overall trend in the number of juvenile \ncod collected at each site. This implies that all of the sampling sites are suitable habitat \nfor juvenile cod. The sites differ in macrophyte vegetation (seaweed) coverage, bottom \nsubstrate type, water depth, seawater temperature, and salinity. It can be concluded that \nthe nearshore waters of Bonne Bay serve as a nursery ground for juvenile cod. Given the \neconomic and cultural importance of Atlantic cod, Bonne Bay is a focus of local fisheries \nstewardship and habitat conservation efforts.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".