Bibliographic record
Abstract
Amblyraja hyperborea (Collett, 1879). Arctic Skate or Boreal Skate. To 112 cm (44.1 in) TL (Weigman 2016) or perhaps to 120 cm (47.2 in) TL (Roberts et al. 2015). Cosmopolitan; primarily in high latitudes in northern and southern hemispheres; polar basins southward to Beaufort Sea of Alaska and western Canada (Mecklenburg et al. 2011), to Chukchi Borderland (Meckleburg and Steinke 2015); also southern Sea of Okhotsk and Pacific coast of northern Japan (Hatooka et al. in Nakabo 2002) to Navarin Canyon, northern Bering Sea (Ebert 2003, Stevenson 2004), and Aleutian Islands (Personal communication: University of Washington, Burke Museum of Natural History and Culture Fish Collection, Seattle, Washington) to northern British Columbia (Love et al. 2005), to central Panama, including Gulf of California (Zorzi and Anderson 1988). Benthic; depth: 92–3,167 m (302–10,388 ft) (min.: Mecklenburg et al. 2016; max.: Kuhnz et al. 2019). We follow Last et al. (2016) and consider Amblyraja badia (Garman, 1899) to be a synonym.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".