Bibliographic record
Abstract
Cryptarcha ampla Erichson, 1843 Carleton Co.: Belleville, Meduxnekeeg Valley Nature Preserve, 46.1957°N, 67.6800°W, 14.VII.2004, R.P. Webster, rich Appalachian hardwood forest, UV light trap, (1, RPW); York Co.: Charters Settlement, 45.8395°N, 66.7391°W, 25.VI.2003, 26.VI.2003, 19.VII.2005, 26.VII.2005, 12.VII.2006, R.P. Webster, mixed forest, m. v. light, (5, RWC); same locality, 10.VII.2005, mixed forest, at sap flow on Salix sp., (1, RWC); Sunbury Co.: Lakeville Corner, 45.9013°N, 66.2565°W, 27.VIII.2006, silver maple forest, on corncobs, (1, RWC). Cryptarcha ampla has been recorded in Canada from British Columbia east to Québec and Nova Scotia (McNamara 1991; Majka and Cline 2006), and in the United States from Maine south to Florida and Alabama, west to Texas, Missouri, Kansas, Iowa, Wisconsin, Colorado, and California (Parsons 1943; Chandler 2001; Price and Young 2006). The species is found at sap flows on maple, oak, hickory, and willow (Parsons 1943; A. Cline, pers. obs.) as well as in fungi and at lights (Downie and Arnett 1996) and is associated with oak wilt fungus mats (Cease and Juzwik 2001). Price and Young (2006) reared a specimen from the stem of a milkweed (Asclepias syriaca L., Asclepiadaceae).
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 | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 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) | 0.021 | 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".