Diversity patterns of necrocolous beetles (Coleoptera: Scarabaeidae, Silphidae, Trogidae) in<i>Agave tequilana</i>Weber (Asparagaceae) fields of different ages
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The necrocolous Coleoptera (attracted to carrion) are important to maintain balance in insect communities and in the recycling of soil nutrients; however, there is scarce data on the species that occur in Agave tequilana Weber (Asparagaceae) fields. The diversity patterns of beetles (Coleoptera: Scarabaeidae, Silphidae, and Trogidae) dwelling in 2–4-year-old A. tequilana plots were established by sampling specimens from May to November 2016. In total, 5509 individuals of 23 species were collected. The highest species diversity was found in Magdalena Municipality, followed by the Arandas and Tequila municipalities (Jalisco, Mexico), with significant differences in abundance among municipalities and crop age. The variability in Magdalena and Tequila assemblages was associated with the temperature, while in Arandas it was attributed to the precipitation. The beetle species diversity, species replacement, and dominance in different municipalities are the result of changes in habitat, the interaction of environmental variables, distribution affinities of species, and agronomic practices in A . tequilana fields.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it