Distribution and abundance of eelpouts (Pisces, Zoarcidae) off West Greenland
Bibliographic record
Abstract
New information on distribution and abundance of West Greenland (59°50´-73°2l´?) eelpouts, was obtained during six bottom trawl surveys (616 hauls) and three longline surveys (78 sets) conducted in the period 1992–1998, at depths from 56 to 1495 m. A total of 17 eelpout taxa were recorded from 407 trawl hauls and 64 longline settings. Further, information on temperature and depth ranges, population structure, reproduction and length-weight relation is given. Five species were recorded for the first time in West Greenland waters (Melanostigma atlanticum, Lycenchelys muraena, Lycenchelys sarsii, Lycodes pallidas, and Lycodes sp. 1) and six were new to Canadian waters (L. muraena, L. sarsii, Lycodes luetkenii, Lycodes adolfi, Lycodes eudipleurostictus, and Lycodes sp. 1). The distribution patterns were analysed by means of a conespondence analysis (CA). The middle slope (600-1500 m) north of the Greenland-Canada Ridge was characterised by L. adolfi, L. eudipleurostictus, Lycodes vahlii, L. luetkenii, Lycodes sp. 1, and L. muraena in low densities while the shelf-upper slope (0-600 m) was characterised by L. eudipleurostictus, Lycodes seminudus, L. vahlii, Lycodes reticulatus, and Lycenchelys kolthoffi in high densities and L. sarsii, Lycodes esmarkii, Lycodes sp. 1, L. luetkenii, L. pallidus, and Gymnelus spp. in low densities. South of the Greenland-Canada Ridge the shelf-upper slope was characterised by L. vahlii, L. sarsii, and Gymnelus spp. in high densities, while the middle slope was characterised by Lycodonus mirabilis, Lycenchelys pcaillus, Lycodes terraenovae, and M. atlanticum in low densities. The Arctic species north of the ridge were caught at unusually high temperatures in 1998, probably due to an extraordinary strong inflow of warm West Greenland Current water.
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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 | 0.000 | 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".