Bibliographic record
Abstract
Lepturges Bates, 1863 Type species, Lepturges elegantulus Bates, 1863 The genus Lepturges Bates, 1863 is distributed in the Western Hemisphere from Canada to Argentina, currently divided in two subgenera: Lepturges (sensu stricto) Bates, 1863 and Lepturges (Chaeturges) Gilmour, 1959. The differences between these two subgenera are the presence in the last one of bristles in the lateral sides of the elytra. There are 74 species described in Lepturges (sensu stricto) and 20 in Lepturges (Chaeturges). After Bates (1863, 1872, 1881, 1885) and Melzer (1928, 1930, 1934), Gilmour described several species (1959a, 1959b, 1961, 1962), later Monné (1976, 1978) and Monné & Tavakilian (1989) add other species.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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; both teacher heads agree on what is shown here.
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".