Bibliographic record
Abstract
106. Cylindroiulus arborum Verhoeff, 1928 Distribution AT, BE, BG, CZ, DE, GR-GRC, HU, LT, MK, PL, RO, SK, UA. Central and Eastern European. Also found in Stavropol, northern Caucasus, Russia (Zuev 2014). Habitat Forests, e.g., Fagus sylvatica, Pinus nigra, mostly in dead wood, but also found in litter. Oak-Hornbeam forest (Quercus / Carpinus). A mainly lowland species, recorded up to 550 m. The Belgian records are from a greenhouse and its immediate vicinity and it must have been an introduction (Biernaux 1972). Jawłowski (1933a) found the species exclusively in hothouses and similar artificial habitats in Poland. The Belgian and Polish records are, therefore, not shown on the map. Remarks Reports from France probably relate to C. parisiorum or perhaps C. truncorum; C. arborum is not included in the French checklist (Geoffroy 1996). The record from Lithuania (Schubart 1934) does not include a specific locality and is not shown on the map. The species has a patchy distribution in central continental Europe, extending south into the Balkans and rarely west of the River Elbe.
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 | 0.002 | 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) | 0.018 | 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".