Fig. 2 in Revision of Quedius sensu stricto (Coleoptera: Staphylinidae)
Bibliographic record
Abstract
Fig. 2. Habitats of Quedius s. str. A – Q. fuliginosus (Gravenhorst, 1802) in mossy habitat in a forest on Zealand, Denmark; B – Oak forest habitat of Q. levicollis Brullé, 1832 found in litter in Extremadura, Spain; C – Saline lake habitat of Q. meridiocarpathicus Smetana, 1958 found in bank litter on Peloponese, Greece; D – River bank habitat of Q. hispanicus Bernhauer, 1898 found in flood debris in Extremadura, Spain; E – Wet mixed forest habitat of Q. fuliginosus found in litter in Southern Ural, Russia; F – Alpine near tree line habitat of Q. subunicolor Korge, 1961 found under stones at 1700 m in Altai Mountains, Russia; G – Alpine mossy creek habitat of Q. unicolor Kiesenwetter, 1847 found in moss in Italian Alps (Photo: A. Zanetti).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.049 | 0.021 |
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".