Species Composition and Relative Abundance of the Mesopelagic Fish Fauna in the Slope Sea off Nova Scotia
Bibliographic record
Abstract
The mesopelagic fish fauna in the Slope Sea off the Canadian continental shelf from 50° to 64°W is documented based on 10 surveys conducted in 1984–89. Species composition and relative species abundance by water mass (Labrador Slope Water [LSW], Warm Slope Water [WSW], and Gulf Stream), and their variation with season and fishing depth, are described. The most abundant species in collections was Ceratoscopelus maderensis, and this species dominated in WSW samples, but Benthosema glaciale was the predominant species in LSW samples. Gulf Stream samples were few and represented boundary conditions. Those species that were common in catches showed a seasonal variation in catch rate. Species composition varied with depth fished, deeper tows containing species, such as Cyclothone spp., that did not migrate to surface layers at night. The collections were comprised of at least 250 species. Although many of them have been reported from adjacent areas to the southwest, 35% of these species are new records for the sampled area, and 19 species are new records for the Slope Sea. Although a species accumulation curve indicates that more species would have been captured with additional sampling, it is likely that all species that occur regularly in the study area are represented in the species list.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".