Bibliographic record
Abstract
Glycyphagus domesticus (De Geer, 1778) Distribution in Iran – Khuzestan Province: Region not mentioned, Mazandaran Province: Region not mentioned (Sepasgozarian 1971, 1977, 1978a; Shahhosseini and Kamali 1989; Bahreini 1993; Sahragard 1996; Modarres Awal 1994, 1997; Mosaddegh 1997). General distribution – Cosmopolitan. Australia, Canada, China, Czech Republic, Egypt, England, Europe, Germany, Greece, Ireland, Japan, Philippines, Poland, Scotland, Taiwan, Turkey, United Kingdom, United States, and Wales (Hagstrum et al. 2013). Collection place(s) – Animal feed, aquatic product, baby food, barley, barley (germinating), bean, biscuit, bread, buckwheat, buckwheat product, calf stomach (dried), cereal, cheese, Chinese medicine, condiment, dried fruit, dried vegetable, flax seed, grain, grass seed, ham, hay, hemp seed, herb, herring meal, malt, malt flower (dried), mushroom, oat, peanut, poppy seed, processed food, rapeseed, rice, spillage, squid (dried), stock fish, sugar beet, sugar beet seed, sunflower seed, tobacco, wheat, wheat flour, wheat flour sweeping (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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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".