Bibliographic record
Abstract
Gohieria fusca (Oudemans, 1902) Distribution in Iran – East Azerbaijan, Mazandaran, and West Azerbaijan provinces: Region not mentioned (Sepasgozarian 1978a; Shahhosseini and Kamali 1989; Faraji 1993b; Mirfakhraii 1994; Modarres Awal 1994, 1997; Sepasgozarian 1997), Guilan Province: Hashtpar (Noei 2007; Noei and Ostovan 2012). General distribution – Belgium, Canada, China, Czech Republic, Egypt, England, France, Germany, Greece, Ireland, Japan, Netherlands, New Zealand, Poland, Russia, Scotland, Taiwan, Turkestan, United States, and Wales (Hagstrum et al. 2013). Collection place(s) – Barley, bean (red), buckwheat, buckwheat product, Chinese medicine, dried fruit, dried vegetable, fish (dried), flax seed, fungus (dried), grain, grass seed, hemp seed, herb, kaoliang, malt, mushroom, poppy seed, protein poultry feed, rice, rice (husked), soybean sauce, soybean sweeping, sugar (packaged), sugar beet seed, wheat, wheat bran, wheat flour (packaged), wheat pollard, wheat flour sweeping, stored rice, rice dust and debris (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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.081 | 0.002 |
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".