Bibliographic record
Abstract
166. Leptusa carolinensis Pace (Illustrations in Pace 1989, Klimaszewski et al. 2004, 2018), Table 1 References. Pace 1989. Klimaszewski et al. 2004, 2018. Webster et al. 2009. Park et al. 2010. Brunke et al. 2012. Distribution. Nearctic. Canada: NB, NS, ON, QC. USA: MA (NSR), ME (NSR), NC, TN. Collection and Habitat data. The ME specimens were captured in April and November by a flight intercept trap; the MA specimens were captured by a funnel trap with a SPB Lure, and another specimen was taken from a Betula sp. In Canada this species was found in hardwood forests under bark of American beech (Fagus grandifolia Ehrh.) logs (common), under bark of sugar maple (common), and in fleshy polypore (bracket) fungi on a dead standing beech tree, and under bark of unidentified trees (Webster et al. 2009). These data suggest that this species is associated with subcortical habitats and other habitats associated with trees (Klimaszewski et al. 2018). Elsewhere, this species was captured in various kinds of traps in sugar maple, red spruce, red spruce/hemlock (Tsuga canadensis (L.) Carriére), and black spruce (Picea mariana (Mill.) B.S.P) forests, with some being young, mature, and old-growth, (Klimaszewski et al. 2018). Material. USA, Maine, York Co.: West Lebanon, 30.X–5.XI.1990, 1 male; 18–25.XI.1991, 1 male; 9– 15.IV.1991, 1 male, D.W. Barry, FIT. Massachusetts, Barnstable Co.: Falmouth, Frances Crane WMA, 41.61064, -70.2507, 14.V.2015, R.A. DiGirolomo, ex. funnel trap, SPB Lure, 1 female (MFDC). Hampden Co.: Brimfield St. Forest, 42.107, -72.2507, 2014 [date incomplete], M.F. DiGirolomo, ex. Betula sp., 1 female (MFDC).
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.008 |
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".