A small hotspot of benthic biodiversity on the northwest Atlantic continental shelf
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.The northern edge of Georges Bank supports a highly productive and diverse benthic community. Our study area is the gravel pavement on the Canadian side of Georges Bank in water depths of 72-90 m. This area has been surveyed periodically by Canadian and U.S. researchers because of its importance as fish and scallop habitat. On joint cruises from 1994 to 2005, the substrate has been characterized with side-scan and single-beam sonar. Site-specific sampling has been conducted with photo/video transects, and benthic samplers. Much of the gravel habitat over thousands of square kilometers is disturbed by bottom fishing gear and exhibits relatively low biodiversity. However, in some small areas the gravel has a biogenic covering of colonial epifauna and exhibits high benthic diversity. In one 14 km2 area, dubbed the “mussel bed”, the substrate is almost completely covered with hydroid and bryozoan colonies. This epifaunal habitat contains the highest numerical abundance, biomass, and species richness of benthic megafauna that we have observed on Georges Bank. High benthic productivity in this area is fueled by upwelled waters from the Gulf of Maine. The shelf-edge front moves over the northern edge of the bank such that the water column is well mixed in winter and stratified in summer. The gravel substrate is undisturbed by winter storms, thus providing a stable substrate for mussel and epifaunal growth. This benthic community is vulnerable to potential oil and gas development, bottom-fishing disturbance, and to colonization by invasive species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".