Bibliographic record
Abstract
Genus Epitrix Foudras, 1860 E. abeillei (Bauduer 1874): TR-A: ADA (Král 1967; Gruev and Döberl 1997; Aslan et al. 1999; Warchałowski 2003) E. atropae Foudras, 1860: TR-A: EZU (Gruev and Döberl 1997; Aslan et al. 1999) E. caucasica Heikertinger, 1950: TR-A: ERZ, EZU (Gruev et al. 1994; Gruev and Döberl 1997; Aslan et al. 1999; Warchałowski 2003) E. dieckmanni Mohr, 1968: TR-A: ISP (Gök et al. 2002; Çilbiroğlu 2003; Gök and Çilbiroğlu 2003, 2005; Gruev and Döberl 2005; Aslan and Gök 2006b) E. hirtipennis (Melsheimer 1847): TR-A: IZM (Gruev and Döberl 1997; Aslan et al. 1999; Warchałowski 2003) Material examined: Mardin (MAR) province: Dara, 1200 m, 13 June 2010, leg. M. Kaplan, 2 specimens. Note: This species is widespread in North America from Canada to Mexico. It was introduced to Europe (Italy) from North America in 1984 and has since spread to Bulgaria, Greece, Syria and Turkey. E. intermedia Foudras, 1860: TR-A: ERZ, EZU, GIR, SAM (Gruev and Döberl 1997; Aslan et al. 1999; Warchałowski 2003; Gruev 2004) E. pubescens (Koch 1803): TR-A: BAL, BIL, DEN, DUZ, ESK, EZU, IST – TR-E: KRK (Gruev and Kasap 1985; Gruev and Döberl 1997; Aslan et al. 1999; Gök and Çilbiroğlu 2003; Gruev 2004; Aslan and Gök 2006b)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".