Bibliographic record
Abstract
189 Euura semiopaca (Lindqvist, 1958) Figs 204, 436–437 Pteronidea semiopaca Lindqvist, 1958: 97. Pachynematus tenuiserra Lindqvist, 1949: 80–81. Secondary homonym of Amauronematus tenuiserra Lindqvist, 1944 [= Euura tenuiserra (Lindqvist, 1944)]. Syn. nov. Euura scandica Vårdal & Heibo, 2014 in Prous et al. 2014: 53. Replacement name for Pachynematus tenuiserra Lindqvist, 1949. Diagnosis Most similar to E. platystigma and E. dissimilis: see discussion under those species. Type material examined Holotype Pteronidea semiopaca FINLAND – Inari Lapland • ♀; Utsjoki, Outakoski; 69.61° N, 25.98° E; 25 Jun. 1947; E. Lindqvist leg.; MZH, http://id.luomus.fi/GL.3519. Notes Mesepisternum of holotype very slightly matt; pronotum colouration darker than in E. platystigma; claws with rather large subapical tooth. A paratype (http://id.luomus.fi/ GL.3518) seems to be E. sagmarius. Holotype Pachynematus tenuiserra FINLAND – Lapin Lääni • ♀; Saana; 69.05° N, 20.85° E; A. Nordman leg.; MZH, http://id.luomus.fi/ GL.3594. Host plants Astragalus frigidus (L.) A.Gray. Genetics COI Only one sequence is available. The nearest neighbour, diverging by a minimum of 4.26%, is Euura platystigma. Nuclear Only one sequence available. The nearest neighbour, diverging by a minimum of 1.19%, is Euura myosotidis. Distribution and material examined Palaearctic. Specimens studied are from Finland, and Sweden.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.010 |
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".