Bibliographic record
Abstract
Allurus lituratus (Haliday, 1835) Distribution in Iran. Golestan (Samin et al. 2015), Hormozgan (Ameri et al. 2014), Mazandaran (Ghahari et al. 2010a; Sedighi and Madjdzadeh 2015). Distribution outside Iran. Frequent to common in western Palaearctic region (Papp 2003a). Armenia, Azerbaijan, Belgium, Bulgaria, Canada, Canary Islands, China, Finland, France, Georgia, Germany, Hungary, Kazakhstan, Lithuania, Moldova, Poland, Sweden, Taiwan (Yu et al. 2012), Greece (Papp 2003a; Yu et al. 2012), Ireland (Broad and Shaw 2009; Yu et al. 2012), Russia (Tobias 1971; Yu et al. 2012), Turkey (Koldaş et al. 2007, 2013; Yilmaz et al. 2010; Güçlü and Özbek 2011; Yu et al. 2012), UK (Marshall 1889 as Liophron lituratus; Yu et al. 2012), Ukraine (Yu et al. 2012). Host records. The following hosts are recorded for Allurus lituratus (Haliday): Sitona crinita (Herbst), S. inops Gyllenhal, S. lepidus Gyllenhal, S. lineata (Linnaeus), S. scissifrons Say (Coleoptera: Curculionidae) (Koldaş et al. 2007; Yu et al. 2012).
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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; 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".