Bibliographic record
Abstract
Epuraea rufa (Say, 1825) Queens Co.: Scotchtown near Indian Point, 45.8762°N, 66.1816°W, 5.VI.2004, R.P. Webster, margin of lake, under drift material, (2, NBM, RWC); same locality, 19.IX.2006, oak forest near lake, in decaying polypore fungi, (1, NBM); Saint John Co.: Saint John, VII. 1900-07, W. McIntosh, (1, NBM); Sunbury Co.: near Sunpoke Lake, 45.7658°N, 66.5546°W, 27.VII.2007, R.P. Webster, oak forest, m. v. light, (7, NBM, RWC); Maugerville: Portobello Creek National Wildlife Area, 45.8992°N, 66.4248°W, 7.V.2004, 27.V.2004, silver maple forest, in moist leaves on margin of vernal pond (12, RWC, NBM); same locality, 18.VI.2004, 17.VII.2004, R.P. Webster, silver maple forest, UVlight, (4, RWC); Acadia Research Forest, 45.9816°N, 66.3374°W, 18.VI.2007, R.P. Webster, mixed forest, sifting leaf litter, (2, NBM, RWC); Lakeville Corner, 45.9013°N, 66.2565°W, 27.VIII.2006, R. P. Webster, silver maple forest, on corncobs, (2, NBM); York Co.: Charters Settlement, 45.8395°N, 66.7391°W, 28.VI.2005, R.P. Webster, mixed forest, m. v. light, (1, NBM); Douglas, Keswick R. at Rt. 105, 45.9943°N, 66.8337°W, 18.VI.2004, R.P. Webster, silver maple forest, under debris near margin of small pool, (2, RWC); Fredericton, Saint John River, 4.VII.2004, R.P. Webster, margin of river, drift material, (2, RWC). Epuraea rufa has been recorded in Canada from Ontario and Québec (McNamara 1991), and in the United States from New Hampshire south to Georgia, west to Missouri, Kansas, Nebraska, and Minnesota, and in Washington and Oregon (Parsons 1943; Kirejtshuk and Pakaluk 1996; Chandler 2001). The species is found in leaf litter, at sap, in fungi, on tree bark, and on driftwood and was also reared from fallen seeds of sugar maple (Acer saccharum Marsh., Aceraceae) (Parsons 1943; Price and Young 2006).
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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.014 |
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".