<i>Henricia</i> spp. (Echinodermata: Asteroidea: Echinasteridae) of the White Sea: morphology, morphometry, and synonymy
Bibliographic record
Abstract
Though sea stars of the genus Henricia Gray, 1840 are widely used in biological studies, their species diversity in the Arctic is poorly understood. We conducted a taxonomic revision of the genus Henricia from the White Sea and examined 381 specimens of Henricia sea stars deposited in the collection of the Zoological Institute of the Russian Academy of Sciences (St. Petersburg), the type collection founded by A.M. Djakonov, and our own collection. Following the 1987 study by F.J. Madsen and the 1950 study by A.M. Djakonov, we identified six species in the White Sea: Henricia eschrichti (J. Müller and Troschel, 1842), Henricia perforata (O.F. Müller, 1776), Henricia scabrior (Michailovskij, 1903), Henricia solida Djakonov, 1950, Henricia sanguinolenta (O.F. Müller, 1776), and Henricia pertusa (O.F. Müller, 1776). Updated descriptions, identification keys, and distribution data of these species are provided. Statistical analysis based on the set of individual characters confirmed the validity of the species H. scabrior. Synonymy of Henricia species according to the 1950 study by A.M. Djakonov and the 1987 study by F.J. Madsen is discussed.
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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".