Bibliographic record
Abstract
Oecobius navus Blackwall, 1859 (Figures 1E, F, 4A–D) Oecobius annulipes: Baum 1972: 117, figs 17–19, 50–53, 62 (♂ ♀). Oecobius navus: Wunderlich 1995: 595, figs 31–35 (♂ ♀). For the full list of 69 taxonomic entries see WSC (2023). Material IRAN: Mazandaran Province: 1♂ (ZMMU), Nashtarud, 36.733333°N, 51.066667°E, 9‒10 June 2000 (Y.M. Marusik); 2♀ (ZMMU), Ramsar, 36.916667°N, 50.666667°E, 10 June 2000 (Y.M. Marusik). Comments This species differs from the congeners occurring in the region by the dark lateral patches on clypeus, three pairs of sublateral dots on carapace (indistinct in some specimens), and the presence of dots on legs (but not annulations). We noted that it has a kind of retrolateral tibial apophysis (arrowed in Figure 4A), which has not been previously documented. Distribution West Palaearctic. Introduced in South Africa, China, Korea, Japan, New Zealand, Canada, USA, South America (WSC 2023). New record for Iran (Figure 9).
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".