Bibliographic record
Abstract
229 Euura tenuis (Schmidt, 1997) Figs 248, 469 Amauronematus tenuis Schmidt, 1997: 295–296. Diagnosis Most similar to E. striata and E. septentrionalis. Its usually dark brown or dark grey pterostigma and usually small size (5.5–8.0(8.8) mm) helps to recognize the species. Euura tenuis is genetically very close to E. striata and considering the similarly weak morphological differences between them, conspecificity cannot be excluded. Lamnium 1.8–1.9 times as long as radix (ZMUO.046512, holotype). Type material examined Holotype Amauronematus tenuis FINLAND – Inari Lapland • ♀; Kevo; 69.76° N, 27.01° E; 7 Jul. 1989; S. Schmidt leg.; MZH, http://id.luomus.fi/GL.3370. Host plants Salix glauca, S. lapponum, and possibly S. lanata (Schmidt 1997). Genetics COI Based on 9 specimens, maximum within-species distance is 0.91% and the nearest neighbours, diverging by a minimum of 0%, are Euura amicula, E. betulae, E. histrio, E. nuorbinjargi, E. rufa, E. septentrionalis, E. striata, and E. tota. Nuclear Based on 9 specimens, maximum within-species distance is 0.48% (1.19% based on haplotypes of individual females). The nearest neighbour, diverging by a minimum of 0%, is Euura striata (DEIGISHym31412). See notes under Euura striata. Distribution and material examined Palaearctic. Specimens studied are from Finland, and Norway.
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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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.007 |
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".