Bibliographic record
Abstract
Eulaelaps stabularis (C. L. Koch, 1839) Distribution in Iran – Guilan Province: Kuchesfahan, Rice Research Institute of Iran, Khomam, Sowme'eh Sara (Noei 2007; Noei et al. 2008a; Hajizadeh et al. 2010b), West Azerbaijan Province: Salmas (Alizadeh et al. 2011), Tehran Province: Shemiranat, RudbarGhasran (Cheraghali et al. 2012), Chaharmahal and Bakhtiari Province, Isfahan Province: Region not mentioned (Keivani et al. 2012), Golestan Province: Gorgan (Kazemi et al. 2011a), Fars Province: Koohmare-Sorkhi Region (Kazemi and Yazdanpanah 2013) Koohmare-Sorkhi Region, oak forest (Yazdanpanah and Kazemi 2014), Khuzestan Province: Region not mentioned (Nemati et al. 2017). General distribution – Cosmopolitan. Canada, Czech Republic, England, Ireland, Taiwan, United States (Hagstrum et al. 2013). Collection place(s) – Stored products, sweeping, warehouse debris, wheat distributed, stored rice, rice dust and debris (Shahhosseini and Kamali 1989; Modarres Awal 1994, 1997; Ostovan and Mosaddegh 1999; Noei 2007; Noei et al. 2008a; Hagstrum et al. 2013).
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 | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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".