Aleochara (Xenochara) lanuginosa Gravenhorst 1802
Bibliographic record
Abstract
10. Aleochara (Xenochara) lanuginosa Gravenhorst † (Illustrations in Klimaszewski 1984, Klimaszewski et al. 2018), Table 1 References. Gravenhorst 1802. Klimaszewski 1984. Cervenka and Moon 1991. Webster et al. 2009. Klimaszewski et al. 2018. Distribution. Palearctic, adventive in North America. Canada: AB, BC, NB, NF, NS, ON, QC. USA: CA, CO, ID, MA, MN, NC, NH, NJ, NY, OR, PA, RI, WA, WI. Collection and Habitat data. Specimens in NH were captured from May to August by flight intercept traps (FIT), and were found in leaf litter, cow dung, and pig dung in a pasture. Elsewhere found in woodlands and open habitats including beaches and pastures, usually in animal droppings including cow and horse dung, human feces, carrion including dead Limulus sp. on a sea beach, oak duff, and compost (decaying vegetables) (Webster et al. 2009, Klimaszewski et al. 2018). Material. USA, New Hampshire, Grafton Co.: Bedell Bridge St. Park @ Oliverian Brook, 7–24.V.1992, D.S. Chandler, FITrap, 1 female. Howard Island, 2 mi S Woodsville, 24.VII.1992, D.S. Chandler, sift leaf litter, 1 male. 7 Plymouth, 11.VII.1963, R.L. Blickle, cow dung, 2 females. Rockingham Co.: 2 mi SE Epping, Rockingham Co. Farm, 1.VIII.1986, S.C. Sherman, pig dung in pasture, 1 female. Hampton, 20.V.1905, S.A. Shaw, 1 male
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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 | 0.001 | 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".