Redescription of<i>Ameroseius lanceosetis</i>Livshitz & Mitrofanov, 1975 (Acari: Mesostigmata), with a checklist and a key to the ameroseiid mites of Iran
Bibliographic record
Abstract
Ameroseius lanceosetis Livshitz & Mitrofanov, 1975 Livshitz, IZ and Mitrofanov, VI. 1975. New species of Ameroseiidae (Parasitiformes) from Crimea, Ukraine. Zoologichesky Zhurnal, 54(3): 462–464. (in Russian with English summary) [Google Scholar] is newly reported from Iran. After comparison with the original description of the type material from Ukraine, we herein provide an expanded description, including illustrations for the adult female, based on the Iranian material. A checklist and an identification key to the 18 mite species of Ameroseiidae recorded from Iran and a hypothesis for the Lindquist and Evans (1965 Lindquist, EE and Evans, GO. 1965. Taxonomic concepts in the Ascidae, with a modified setal nomenclature for the idiosoma of the Gamasina (Acarina: Mesostigmata). Memoirs of the Entomological Society of Canada, 47: 1–64. [Crossref] , [Google Scholar]. Taxonomic concepts in the Ascidae, with a modified setal nomenclature for the idiosoma of the Gamasina (Acarina: Mesostigmata). Memoirs of the Entomological Society of Canada 47:1–64) designations for the setae on the dorsal shield of Ameroseius are also provided.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".