Bibliographic record
Abstract
52. Atheta (Chaetida) longicornis (Gravenhorst) † (Illustrations in Klimaszewski et al. 2007 a, 2018), Table 1 References. Gravenhorst 1802. Muona 1984. Klimaszewski et al. 2007a, 2013 a, 2018, 2021. Majka and Klimaszewski 2008. Webster et al. 2009. Michaud et al. 2010. Distribution. Palearctic, adventive in North America. Canada: BC, NB, NF, NS, QC, SK. USA: CA, MN, ME (NSR), NH (NSR), OR. Collection and Habitat data. The NH specimens were found in coastal backdunes, pig dung in pasture, and taken by FIT, window, and UV light traps. Collected from June to July. In Canada found in open habitats where it occurs in cow and horse dung, carrion, compost, rotting mushrooms, and other rotting organic substrates (Klimaszewski et al. 2018). Some flying individuals were collected with an aerial net in late afternoon (15:00–18:00 h) in early spring in a mixed forest opening (Webster et al. 2009). Material. USA, Maine, York Co.: West Lebanon, 5–9.VII.1990, D.W. Barry, FIT, 1 male. New Hampshire, Carroll Co.: The Bowl, 2.5 mi NW Wonalancet, 8–14.VI.1984, D.S. Chandler, window trap, 1 female. Rockingham Co.: Seabrook backdunes, 12.VII.1989, D.S. Chandler, UV light, 1 female. 2 mi SE Epping, 31.VII.1986, S.C. Sherman, farm, pig dung in pasture, 1 male, 1 female.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.011 |
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".