Family Eurytomidae Walker, 1832.
Bibliographic record
Abstract
Abstract Species of Eurytomidae are associated with many communities of phytophagous insects, many being phytophagous (gall inducers, inquilines or seed feeders) and causing different types of injury to plants, others being entomophagous, including parasitoids of a wide range of insect hosts in the orders Coleoptera, Diptera (mainly Cecidomyiidae), Hymenoptera (Aculeata) and Lepidoptera, and even some being recorded from spider (Araneae) and cicada (Hemiptera) eggs. This chapter provides a checklist for the family Eurytomidae. It provides information on species diversity, host records, distribution records by province in Iran, as well as world distribution. Comparison of the eurytomid fauna with adjacent countries indicates that the fauna of Iran (127 species) is most diverse, followed by Turkey (98 species), Russia (74 species), Kazakhstan (60 species), Turkmenistan (33 species), Iraq (11 species), Azerbaijan (10 species), Armenia (nine species), Afghanistan and United Arab Emirates (both with four species) and Pakistan and Saudi Arabia (both with two species). No species have been recorded from Bahrain, Kuwait, Oman or Qatar. However, 150 eurytomid species were reported from the former USSR, indicating that the fauna was relatively well studied, though several species were recorded without indication of exact region within this large area. Of the countries adjacent to Iran, Turkey shares the highest number of known species with Iran (58 species), followed by Kazakhstan and Russia (both with 25 species), Turkmenistan (17 species), Azerbaijan (seven species), Iraq (six species), Armenia (four species) and Afghanistan (two species).
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.011 |
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".