Importance of eelgrass (Zostera marina) to fishes in North Shore estuaries on Prince Edward Island
Bibliographic record
Abstract
Seagrass beds are known to support an abundant and diverse ichthyofauna and are generally considered essential habitats within estuarine and coastal environments. On Prince Edward Island (PEI) anthropogenic activities within watersheds are causing eutrophication of estuaries resulting in macroalgal (primarily sea lettuce, Ulva lactuca) proliferation and degradation and loss of eelgrass (Zostera marina) habitat. This project aimed to: 1) examine the impacts of sea lettuce on eelgrass and the eelgrass fish community using 1 m2 enclosures and a 12 m2 exclosure respectively; 2) investigate diel and seasonal patterns of eelgrass habitat use to increase our understanding of eelgrass habitat importance to a variety of estuarine fish species; 3) determine how the fish community composition varies with eelgrass habitat condition; and, 4) explore the effects of eelgrass habitat loss on an eelgrass dependant species, northern pipefish ( Syngnathus fuscus).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".