Bibliographic record
Abstract
Tadashi Kawai,1,* Gi-Sik Min,2 Evgeny Barabanshchikov,3 Vjacheslav Labay4 and Hyun Sook Ko5 For more than one hundred years, Europeans have been fascinated by oriental fauna. As a result several explorers collected freshwater crayfi shes in Far-east Asia and Siberia and brought back them into Europe. From these specimens taxonomists described four new species, Cambaroides dauricus (Pallas, 1772) (Amur basin of eastern Siberia and Northeastern China, its estuaries and the basin of the Bay of Peter the Great), C. japonicus (De Haan, 1841) (Hokkaido and Honshu islands, Japan), C. schrenckii (Kessler, 1874) (Amur and Ussury basins of Siberia and Korea, and Sakhalin Island), and C. similis (Koelbel, 1892) (Korean Peninsula) (Fitzpatrick 1995). The genus Cambaroides is quite different from its closest relative resulting in it being the only members of the subfamily Cambaroidinae. Ortman (1902) and Andrews (1907) thought that this genus is the most primitive group in the crayfi shes in the Northern Hemisphere and ancestor to European and North American crayfi shes. Subsequent studies on taxonomy and general biology of East Asian species have been reported by Okada (1933) and Koba (1939, 1941, 1942).
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".