Bibliographic record
Abstract
55.1. Larentiinae – carpet moths Medium-sized moths (approximately 15–35 mm wingspan) with complex patterns of transverse bands. Th ey can be separated from other geometrids by wing venation: on the hindwing, the Sc + R 1 veins are fused with the Rs vein for more than one-quarter the length of the discal cell. No other easily observable characters define the group. Larvae of most species feed on the foliage of trees; a few species of Eupithecia in Hawaii are carnivorous on aphids and spiders. Th e Larentiinae includes a few forest pest species such as the winter moths (Operophtera spp.). Approximately 5700 species of Larentiinae are known worldwide, primarily from temperate regions. Approximately 470 species occur in North America; 137 are known from AB. Th is subfamily is in need of taxonomic work, and many specimens in collections have not been adequately identified because of the diffi culty in making species determinations. Some groups are reasonably well known, including Anticlea (Rindge 1967), some Dysstroma (McDunnough 1946a), Entephria (Troubridge 1997), Eubaphe (Fletcher 1954), Canadian Eupithecia (Bolte 1990), some Hydriomena (McDunnough 1954), Operophtera (Troubridge and Fitzpatrick 1993), Plemyria (Choi 1998), and Rheumaptera (Skou 1986). McGuffi n (1958b) treated the known larvae.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.111 | 0.043 |
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".