Bibliographic record
Abstract
<title>Abstract</title> This chapter provides a checklist for the family Eupelmidae. It provides information on species diversity, host records, distribution records by province in Iran, as well as world distribution. Comparison of the eupelmid fauna of Iran with adjacent countries indicates that the fauna of Iran (48 species) is most diverse, followed by Russia (28 species), Turkey (17 species), Kazakhstan and Turkmenistan (both with nine species), Azerbaijan and United Arab Emirates (both with five species), Afghanistan, Armenia and Pakistan (each with three species), Iraq (two species) and Oman and Saudi Arabia (both with one species); no species have been recorded from Bahrain, Kuwait or Qatar. Russia shares 14 known species with Iran, followed by Turkey (13 species), Kazakhstan (seven species), Armenia and Turkmenistan (both with three species), Azerbaijan (two species) and Oman, Pakistan, Saudi Arabia and United Arab Emirates (each with one species).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 teacher head, 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".