Bibliographic record
Abstract
160. Gyrophaena sculptipennis Casey (Illustrations in Seevers 1951, Klimaszewski et al. 2009c, 2018), Table 1 References. Casey 1906. Seevers 1951. Dollin et al. 2008. Klimaszewski et al. 2009c, 2016 a, 2018. Distribution. Nearctic. Canada: AB, NB, NS, ON, QC. USA: MA, NC, NH, NY, WI. Collection and Habitat data. One NH specimen was captured in July–August by a flight intercept trap in a coastal backdunes forest. In Canada found in mixed forests, mature red spruce and red maple forests, hemlock forest (120+ years old), forested black spruce bog with red maple, and an old Pinus banksiana forest. Adults on/in fresh gilled mushrooms on forest floor, on stalked polypore mushrooms on forest floor, and on Pleurotus sp. on log (Klimaszewski et al. 2009c, 2018). Material. USA, New Hampshire, Rockingham Co.: Seabrook backdunes, 26.VII–10.VIII.1989, D.S. Chandler, FIT, 1 male.
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 | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.026 |
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".