Bibliographic record
Abstract
Agathidium rubellum Fall, 1934 NEW BRUNSWICK: Kent Co.: Kouchibouguac National Park, 16.VII.1977, I. Smith, (1, CNC). NOVA SCOTIA: Guysborough Co.: George Lake, 1-16.VII.1997, D.J. Bishop, red spruce forest (2, NSMC); Halifax Co.: Big St. Margarets Bay, 15-30. VII.1997, D.J. Bishop, old-growth red spruce forest, (2, NSMC); Campbell Hill, 15- 30.VI.1997 and 1-16.VII.1997, D.J. Bishop, mature red spruce forest, (2, NSMC); Lake Little, 1-16.VII.1997, D.J. Bishop, red spruce forest, (2, NSMC); Pockwock Lake, 1-16.VII.1997, D.J. Bishop, mature red spruce forest, (2, NSMC); Inverness Co.: Lone Shieling, Cape Breton Highlands National Park, 20.VII.1983, D.E. and J.E. Bright, (1, CNC); Lone Shieling, Cape Breton Highlands National Park, 19.VI.1983, Y. Bousquet, (1, CNC); Lone Shieling, Cape Breton Highlands National Park, 19.VIII.1983, M. Sharkey, (1, CNC); Lunenburg Co.: Card Lake, 15-30. VI.1997 and 1-16.VII.1997, D.J. Bishop, old-growth red spruce/hemlock forest, (2, NSMC); Pictou Co.: 1-16.VII.1997, D.J. Bishop, mature red spruce/hemlock forest, (1, NSMC); Victoria Co.: Beulach Ban Falls, Cape Breton Highlands National Park, 13.VI.1983, A. Smetana, (1, CNC). Agathidium rubellum is newly recorded in New Brunswick. It was reported from Nova Scotia by Miller and Wheeler (2005) (Fig. 7). It was found in eastern hardwood forests in leaf and log litter. There are host records from Tubifera ferruginea (Miller and Wheeler 2005). Specimens in Nova Scotia were collected in red spruce, eastern hemlock, and deciduous forests.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".