Bibliographic record
Abstract
Genus Cauchas Zeller Type species. Tinea fibulella ([Denis & Schiffermüller], 1775), by subsequent designation by Fletcher (1929). Distribution. Palaearctic: Europe; Russia (European part, south of West Siberia, Far East); West (Turkey, Armenia) and Central (Kazakhstan, Kyrgyzstan, Uzbekistan, Turkmenistan) Asia; Nearctic: Canada, USA (Nielsen & Johansson 1980; Kozlov 1994, 1997, 2024c; Kuprijanov 1994; Korb 2016; Bryner 2020; Davis & Medeiros 2023). Remarks. The world fauna of the genus includes 32 species, half of which are distributed in the Old World with the greatest species diversity in Europe (nine species), and the other half are found in the New World, where the Cauchas spp. inhabit the North America. The fauna of Russia includes seven species, three species of which known from European part only (Cauchas florella (Staudinger), C. leucocerella (Scopoli), C. rufifrontella (Treitschke)), two species reach the south of West Siberia (C. fibulella ([Denis & Schiffermüller]), C. rufimitrella (Scopoli)), one species was described from Altai Republic and so far known only from this locality (C. mikkolai Kozlov) and one species (C. breviantennella Nielsen & Johansson) has been reported from arctic (Murmanskaya oblast’ and Yamalo-Nenetskii Avtomnyi Okrug) and subarctic (Magadanskaya oblast’) geographic zones. The species of the genus Cauchas so far remain unknown from East Asia and south of the Russian Far East, thus the new species is the first one described from this territory.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.018 |
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".