Size metrics, longevity, and growth rates in <i>Umbellula encrinus</i> (Cnidaria: Pennatulacea) from the eastern Canadian Arctic.
Bibliographic record
Abstract
Umbellula encrinus (Linnaeus, 1758) is a deep-water sea pen commonly found in the eastern Canadian Arctic. It can reach heights of >2 m, and it has often been caught as fishing bycatch. Here, we characterized abundance/density, size metrics, longevity, and growth rates of U. encrinus colonies from Baffin Bay (between Greenland and Canada). No prevalent size classes were identified at most locations, except for Jones Sound and Cape Dyer, where small-size colonies dominated. Average number of growth rings in the internal skeleton (axis) of the examined colonies ranged between 2 and 68, with a maximum of 75. A bomb- 14 C analysis yielded 14 C curves comparable with those of other deep-water octocorals with annual ring formation. A trace element analysis of Mg/Ca, Sr/Ca, Ba/Ca, and Na/Ca yielded values oscillating along the axis radius, with the number of peaks and growth rings being comparable. Growth rates averaged 0.067 ± 0.015 mm year −1 (radial extension) and 4.5 ± 1.2 cm year −1 (linear extension), considering rings to be formed annually. Relationships between radial growth rates, depth, and surface salinity were weak but statistically significant. Umbellula encrinus is a long-lived species, vulnerable to various types of fishing gear, with a skeleton that stores biological and environmental information.
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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 | 0.002 | 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) | 0.001 | 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".