Bibliographic record
Abstract
Eumetopias jubatus (Schreber 1776) [Phoca] jubata Schreber 1776, Die Saugethiere, Vol. 3, 17: 300 (text) [1776]; see also 3 (17): pl. 83. B [1776]. Type Locality: "...Aufenthalt in dem nördlichen Theil des stillen Meeres...westlichen Küste von Amerika... östlichen von Kamtschatka ...Inseln...Küsten unter dem 56ten Grade der Breite liegen." [N part of the Pacific. Russia, Commander and Bering Isls]. Vernacular Names: Steller Sea Lion. Synonyms: Eumetopias jubata Forster 1775; Eumetopias leonina (Pallas 1811); Eumetopias monteriensis (Gray 1859); Eumetopias stellerii (Lesson 1828). Distribution: Northern Pacific coastal regions of Canada, China (vagrant populations to Jiangsu), Japan (from Hokkaido N), Russia, USA (Alaska, Washington, Oregon, California). Conservation: U.S. ESA – Threatened, except population segment west of 144° W. Long, which is Endangered; IUCN – Endangered. Discussion: The type of O. californiana Lesson, 1828, was shown by Allen (1880) to actually be Zalophus. A. monteriensis Gray, 1859, is based on P. jubata Schreber, 1776. Scheffer (1958) pointed out that jubata Forster, 1775, is invalid. Reviewed by Loughlin et al. (1987). Synonyms allocated according to Ellerman and Morrison-Scott (1951), Hall (1981), and Loughlin et al. (1987).
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".