Species list of bats (Mammalia, Chiroptera) of Santarém area, Pará State, Brazil
Bibliographic record
Abstract
Despite its enormous area, diversity of habitat, and bat species, studies in the Brazilian Amazon represent just a small portion of the bat research in the South América. Consequently, the distribution of the major part of the bat species in the Brazilian Amazon remains incompletely documented. Conservation strategies involving bat species in the Brazilian Amazon may be difficult without more information about geographic distribution, status, roost, food preferences, and reproduction of the species. Here is presented an updated list of species of bats of Alter do Chão, and complete this list with data from the nearby Amazon National Park, providing a list of bats in the Santarém area. This list includes at least 55 species of bats, representing 34 genera, and 7 families. The higher taxonomic composition of bat fauna of Santarérn area is similar to other areas sampled in the Brazilian Amazon, with a high proportion of frugivores, but the number of aerial insectivores is lower, probably due the use of mist nets as the principal sampling method.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".