Bibliographic record
Abstract
Chortoglyphus arcuatus (Troupeau, 1879) Distribution in Iran – West Azerbaijan Province: Region not mentioned, Mazandaran Province: Region not mentioned (Esmaili 1983; Faraji 1993b; Mirfakhraii 1994), Razavi Khorasan Province: Mashhad (Khaleghabadian et al. 2012), Guilan Province: Masal, Sowme'eh Sara, Rezvanshahr, Rice Research Institute of Iran, Anzali, Kuchesfahan, Fuman (Noei 2007; Noei and Ostovan 2012). General distribution – Barbados, Belgium, Canada, China, Croatia, Czech Republic, Egypt, England, France, Germany, Greece, Hong Kong, Ireland, Italy, Netherlands, New Zealand, Poland, Russia, Taiwan, Thailand, Wales (Hagstrum et al. 2013). Collection place(s) – Houses, rice barley, barley sweeping, bean curd, cereal, Chinese medicine, clover seed (red), dried fruit, dried vegetable, grain, grass seed, hay, herb, lentil, maize, malt, millet, mushroom, oat, poppy seed, potato flour, poultry mix, residue, rice, rice (husked), rye, shrimp (dried), soya sweeping, squid (dried), sugar beet seed, sweeping, sweetpotato chip (dried), wheat, wheat flour, wheat flour sweeping, stored rice, rice dust and debris (Esmaili 1983; Faraji 1993b; Mirfakhraii 1994; Modarres Awal 1994; Noei 2007; Noei and Ostovan 2012; 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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.063 | 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; both teacher heads agree on what is shown here.
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".