Bibliographic record
Abstract
89. Brachyiulus lusitanus Verhoeff, 1898 Brachyiulus pusillus lusitanus Verhoeff, 1898. Brachyiulus corcyraeus Verhoeff, 1900. Brachyiulus corcyraeus arcadius Verhoeff, 1900. Microbrachyiulus calcivagus Verhoeff, 1910. Distribution AT, BG, CH, CZ, DE, ES-BAL, ES-CNY, ES-SPA, FR-COR, GB-GRB, GR-GRC, HR, HU?, IT-ITA, IT-SAR, MC, MK, PT-AZO, PT-MDR, PT-POR. – Also Algeria, Egypt, Iran; introduced into Australia and North America. Habitat Found in forests, also open land (sandy area on Adriatic coast, on the roof of a police station situated in a field, grassy slopes on Gran Canaria as well as in laurel forest, under bark and moss. Dominant in meadows, corn fields and vineyards in NE Italy (Paoletti et al. 1988). In Bulgaria in mixed forests, in meadows, under stone debris in quarry, in city park, 224–900 m (Vagalinski & Stoev 2007). The British record is from the Eden Park Project in Cornwall, which has created some warmer foreign environments in very large heated greenhouses. We leave it in as an introduction as it has been found outside. Remarks There is a record, from Iran, of this species infesting a child’s alimentary canal (Mowlavi et al. 2009).
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 | 0.001 | 0.001 |
| 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) | 0.021 | 0.004 |
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".