Bibliographic record
Abstract
456. Ommatoiulus moreleti (Lucas, 1860) Iulus moreleti Lucas, 1860. Julus lusitanicus Karsch, 1881. Julus karschi Verhoeff, 1892. Scizophyllum moreletii auct. Palaioiulus karschi auct. Distribution ES-CNY, ES-SPA, PT-AZO, PT-MDR, PT-POR. – Also introduced into the Afrotropical and Australian regions, and to Bermuda. Habitat Abundant in several habitats in Macaronesia, Portugal and Western Spain, with a large altitudinal range. On a site where it coexists with O. cingulatus and O. oliveirae, Bailey & de Mendonça (1990) found it in Quercus and Cistus litter but not in grassland where O. oliveirae predominated. In Australia it is regarded as a pest due to its sometimes extreme abundance see, e.g., http://www. polydesmida.info/ tasmanianmultipedes/milli-jul-exo.html. Remarks Quite a variable species (see, e.g., Baker 1984). O.cervinus is most likely a synonym of O. moreleti (N. Akkari in litt.).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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; both teacher heads agree on what is shown here.
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".