Bibliographic record
Abstract
512. Pachyiulus varius (Fabricius, 1781) Iulus varius Fabricius, 1781. Julus nigripes C.L. Koch, 1847. Julus unicolor C.L. Koch, 1847. Distribution AL, BA, BG, FR-FRA, GR-GRC, HR, IT-ITA, MK, MN, RO, SB, SI, TR-TUE. – Also Georgia. Habitat Common on karst. Collected from forest litter and rotting wood. Several records from caves. Remarks Pachyiulus varius is the oldest available name for a group of species which are notoriously difficult to distinguish. Mauriès et al. (1997) provided a good discussion of the problem and synonymised several other nominal species under P. varius. Recent studies by Frederiksen et al. (2012) suggest, however, that there are several species hiding under P. varius sensu Mauriès et al. (1997). We therefore treat P. apfelbecki, P. flavipes and P. oenologus as separate species, although we realize that additional studies may yet change the picture. Numerous infraspecific forms have been named within the complex – their status is largely unresolved.
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) | 0.016 | 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".