Bibliographic record
Abstract
Eucnemis americana Horn, 1886 (Fig. 8) In Canada, this rarely seen eucnemid species has been recorded in Ontario. In the United States, E. americana have been found in California, Illinois, Indiana, New York, Oregon, Pennsylvania, Washington, Wisconsin (Muona 2000) and taken for the first time in Connecticut, Massachusetts, New Jersey and Ohio. Specimens were taken from Lindgren funnel traps and a intercept panel trap. CONNECTICUT: Harfield County: 4.8 km NNE Enfield, 15–28 May 2013, K. Divito (CMNH); MASSACHUSETTS: Hampden County: 4.0 km W Westfield, 2–16 June 2016, N. Carrier (CMNH); NEW JERSEY: Warren County: 1.0 km SSE Delaware, 17 May–1 June 2016, K. Moore & A. Pappas (CMNH, GERP); OHIO: Cuyahoga County: 1.3 km SE Euclid, 17–30 May 2014, R. Freeborn (CMNH), Mahoning County: 3.0 km NE Cornersburg, 11–24 May 2012, R. Freeborn (CMNH), Morris County: 1.0 km SW Boonton, 15 June–8 July 2016, K. Moore (CMNH), Ottawa County: 3.6 km NNE Lacame, 19 May–2 June 2015, C. Poe (CMNH), Stark County: 3.1 km W Alliance, 14–28 May 2016, R. Freeborn (CMNH, GERP). Vinton County: 6.5 km SE of Zaleski. 11–18 May 2013, 22–29 April 2017 (3), K.D. Karns (KDKC).
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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".